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https://scale.com/
Accelerate the Development of AI Applications | Scale AI
2023-05-10
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<div><div><main><div><header><div><div><nav><ul><p><li><a href="/donovan">Government</a></li></p><p><li><a href="/pricing">Pricing</a></li></p></ul></nav></div><nav><ul><li><a href="/demo">Book a Demo</a></li><li><a href="https://dashboard.scale.com/login">Log In</a></li></ul></nav></div></header><div><div><h2><div><p>Power</p><div> <p>Generative AI</p><p>Automotive AI</p><p>Government AI</p></div></div><br /> With Your Data</h2><p>Make the best models with the best data. Scale Data Engine leverages your enterprise data, and with Scale Generative AI Platform, safely unlocks the value of AI.</p></div><div><p>Scale works with </p><p>Generative AI Companies</p><p>, </p><p>U.S. Government Agencies</p><p>, </p><p>Enterprises</p><p> &amp; </p><p>Startups</p></div></div><hr /><div><div><h2>AI for the Enterprise</h2><h2>Generative AI Architecture </h2></div><div><div><div><p>Fine-Tuning and RLHF</p><p>Adapt best-in-class foundation models to your business and your specific data to build sustainable, successful AI programs and data from your enterprise.</p></div><div><p>Foundation Models</p><p>Scale partners or integrates with all of the leading AI models, from open-source to closed-source, including OpenAI, Anthropic, Google PaLM, Cohere, and more.</p></div><div><p>Enterprise Data</p><p>Scale's Data Engine enables you to integrate your enterprise data into the fold of these models, providing the base for long-term strategic differentiation.</p></div></div><div><div><p>Enterprise Generative AI Platform</p><p>The only full-stack generative AI platform for your Enterprise, powered by the Scale Data Engine.</p></div><div><p>Fine-Tuning and RLHF</p><p>Adapt best-in-class foundation models to your business and your specific data to build sustainable, successful AI programs and data from your enterprise.</p></div><div><p>Foundation Models</p><p>Scale partners or integrates with all of the leading AI models, from open-source to closed-source, including OpenAI, Anthropic, Google PaLM, Cohere, and more.</p></div><div><p>Enterprise Data</p><p>Scale's Data Engine enables you to integrate your enterprise data into the fold of these models, providing the base for long-term strategic differentiation.</p></div></div></div><p>GENERATIVE AI PROVIDERS WE PARTNER WITH:</p></div><hr /><div><div><h2>Build AI</h2><h2>Scale Data Engine </h2></div><div><div><p>RLHF</p><p>Powering the next generation of Generative AI.</p><p>Scale Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.</p></div><div><p>Data Labeling</p><p>The best quality data to fuel the best performing models.</p><div><div><p>Scale has pioneered in the data labeling industry by combining AI-based techniques with human-in-the-loop, delivering labeled data at unprecedented quality, scalability, and efficiency.</p></div><div><p></p></div></div></div><div><div><p>Data Curation</p><p>Unearth the most valuable data by intelligently managing your dataset.</p><p>Scale’s suite of dataset management, testing, model evaluation, and model comparison tools enable you to “label what matters.” Maximize the value of your labeling budget by identifying the highest value data to label, even without ground truth labels.</p></div><div><div><div><p>MS COCO</p><ul><li>Overview</li><li>Charts</li><li>Slices (12)</li><li>Autotags</li></ul></div><ul><li>Jobs</li><li>Guides</li><li>Docs</li></ul></div><div><div><h3>MS COCO</h3><p>ds_bwm61zzb8mjksanms4wg</p></div><div><div><p>Object Class Distribution</p><p>Ground Truth</p></div></div></div></div></div></div></div><hr /><div><div><div><h2>Apply AI</h2><h2>Scale Generative AI Platform </h2></div><p>Apply AI to Specific Business Challenges:</p></div><div><div><p>spellbook</p><p>Large Language Model (LLM) App Platform</p><p>Spellbook enables you to build, compare, and ship LLM apps in minutes.</p><div><table><thead><tr><th>Parameters</th><th><div><p>Baseline</p></div></th><th><div><p>Smarter</p></div></th></tr></thead><tbody><tr><td>Prompts</td><td>I am a very smart computer.<br />I am able to extract<br />parameters from inputs<br />and outputs. Here are some examples of inputs with their correct outputs extracted.</td><td>I am a very smart computer.<br />I am able to, given a<br />call transcript, predict<br />whether it contains signs<br />of insider trading or<br />not. If there is insider trading, I will output “insider trading”. If there are no signs of insider trading, I will output “not insider trading”. Here are some examples of calls with their correct outputs extracted.</td></tr></tbody></table></div></div><div><p>instant ml</p><p>Vision</p><p>Image classification, segmentation, and detection, fine-tuned on your image data.</p><div><p>taxis15-fwgtt7</p><p>METRICS: Mean Acerage Precision</p><table><thead><tr><th>CLASS</th><th>TEST</th><th>TRAIN</th><th>VALIDATION</th><th></th></tr></thead><tbody><tr><td>All classes</td><td>10.228%</td><td>0.189%</td><td>17.317%</td><td> </td></tr></tbody></table></div></div></div><p>Apply AI to Specific Business Challenges:</p></div><hr /><div><h2>Learn How We Serve Enterprises Large and Small</h2><h2>Case Studies &amp; Resources </h2></div><hr /><div><div><h2>Customers</h2><h2>We have changed the game of AI data—hear it from our customers. </h2></div><div><div><div><p></p></div><div><blockquote>“ChatGPT is a great research capability, but Scale AI’s production-ready LLM not only learned from decades of intelligence collection but also explains how and when it received its mission critical intelligence. That’s an operational imperative to earn commander trust.”</blockquote><h4>Morgan Bishop</h4><p>Computer Scientist, Air Force Research Laboratory</p></div></div><div><div><p></p></div><div><blockquote>“The U.S. intelligence community has spent an enormous amount of resources on collection but the sheer volume that returns is a huge problem. Scale’s LLMs are the tool that will allow the IC to finally and fully exploit all of that intelligence that has been collected.”</blockquote><h4>Michael Burns</h4><p>Deputy Director of Analysis, Central Intelligence Agency</p></div></div><div><div><p></p></div><div><blockquote>“Thanks to companies like Scale, a lot of these SaaS tools are building intelligent capabilities into their products[...] that’s a path for a lot of companies to get value from AI without becoming AI shops, which is a really formidable challenge”</blockquote><h4>Bret Taylor</h4><p>Retired President &amp; COO, Salesforce</p></div></div><div><div><p></p></div><div><blockquote>“Scale has a great focus on helping companies improve the quality of their data and the usability of their data. Scale has seen so many different applications of AI across so many different kinds of companies. I think it’s well positioned to help a company assess where it is, what’s the state of its data, what’s the state of its systems, and what kind of capability and preparedness to use sophisticated algorithms.”</blockquote><h4>Jeff Wilke</h4><p>Retired CEO, Amazon Worldwide Consumer, Amazon Worldwide Consumer</p></div></div><div><div><p></p></div><div><blockquote>“One of the things we love about Scale is the fact that we can fully label the world. We can label 2D bounding boxes, 3D bounding boxes, but also semantic segmentation, including in 3D, to understand as much as possible, including scenarios we don’t foresee today.”</blockquote><h4>Adrien Gaidon</h4><p>Machine Learning Lead, Toyota Research Institute</p></div></div></div></div><hr /><div><h2>The future of your industry starts here!</h2></div><hr /></div></main></div></div>||||I|||| A letter from our CEO, introducing our new Generative AI platforms - Donovan and EGP Read Here →

 A letter from our CEO, introducing our new Generative AI platforms - Donovan and EGP
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 Power
 Generative AI
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 With Your Data

 Make the best models with the best data. Scale Data Engine leverages your enterprise data, and with Scale Generative AI Platform, safely unlocks the value of AI.

 Book a Demo →
 Build AI →
 Scale works with Generative AI Companies
 , U.S. Government Agencies
 , Enterprises
 & Startups
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 Scale works with

 Generative AI Companies

 ,

 U.S. Government Agencies

 ,

 Enterprises

 &

 Startups

 TransformX 2022

 The Future of LLMs, Foundation & Generative Models

 by Greg Brockman

 TransformX 2022

 Navigating an AI-Enabled Future

 by Eric Schmidt

 TransformX 2022

 Understanding & Interacting With The Real World

 by Fei Fei Li

 TransformX 2022

 Democratizing AI

 by Emad Mostaque

 TransformX 2022

 Building AI-Native Products & What’s Next For AI

 by Nat Friedman

 TransformX 2022

 The State of AI Adoption

 by Thomas Kurian

 AI for the Enterprise

 Generative AI Architecture

 Talk to a Generative AI Expert →

 Fine-Tuning and RLHF

 Adapt best-in-class foundation models to your business and your specific data to build sustainable, successful AI programs and data from your enterprise.

 Foundation Models

 Scale partners or integrates with all of the leading AI models, from open-source to closed-source, including OpenAI, Anthropic, Google PaLM, Cohere, and more.

 Enterprise Data

 Scale's Data Engine enables you to integrate your enterprise data into the fold of these models, providing the base for long-term strategic differentiation.

 Enterprise Generative AI Platform

 The only full-stack generative AI platform for your Enterprise, powered by the Scale Data Engine.

 Fine-Tuning and RLHF

 Adapt best-in-class foundation models to your business and your specific data to build sustainable, successful AI programs and data from your enterprise.

 Foundation Models

 Scale partners or integrates with all of the leading AI models, from open-source to closed-source, including OpenAI, Anthropic, Google PaLM, Cohere, and more.

 Enterprise Data

 Scale's Data Engine enables you to integrate your enterprise data into the fold of these models, providing the base for long-term strategic differentiation.

 GENERATIVE AI PROVIDERS WE PARTNER WITH:

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 Build AI

 Scale Data Engine

 RLHF

 Powering the next generation of Generative AI.

 Scale Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.

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 Data Labeling

 The best quality data to fuel the best performing models.

 3DImageMappingTextAudio

 Scale has pioneered in the data labeling industry by combining AI-based techniques with human-in-the-loop, delivering labeled data at unprecedented quality, scalability, and efficiency.

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 Label My Data →

 Data Curation

 Unearth the most valuable data by intelligently managing your dataset.

 Scale’s suite of dataset management, testing, model evaluation, and model comparison tools enable you to “label what matters.” Maximize the value of your labeling budget by identifying the highest value data to label, even without ground truth labels.

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 MS COCO
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 MS COCO

 ds_bwm61zzb8mjksanms4wg
 MS COCO
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 ITEMS

 123289

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 MODEL RUNS

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 Object Class Distribution

 Ground Truth

 Search
 Showing 20 of 80 Results

 Apply AI

 Scale Generative AI Platform

 spellbook

 Large Language Model (LLM) App Platform

 Spellbook enables you to build, compare, and ship LLM apps in minutes.

 Compare

 Variant 1

 to

 Variant 2

 on

 Insider_trading_classification.csv
 Parameters Baseline  Smarter    
  I am a very smart computer.   
 I am a very smart computer. I am able to, given a    
 Prompts I am able to extract  call transcript, predict   
 parameters from inputs whether it contains signs   
 and outputs. Here are some examples of inputs with their correct outputs extracted. of insider trading or    
  not. If there is insider trading, I will output “insider trading”. If there are no signs of insider trading, I will output “not insider trading”. Here are some examples of calls with their correct outputs extracted.
 

 instant ml

 Vision

 Image classification, segmentation, and detection, fine-tuned on your image data.

 NYC Taxis Demo Branches Task Setup Models Quality Lab Metrics

 taxis15-fwgtt7

 METRICS: Mean Acerage Precision

 CLASS TEST TRAIN VALIDATION 
 All classes 10.228% 0.189% 17.317% 
 

 Apply AI to Specific Business Challenges:

 forge

 Automated Advertising

 Use the power of Generative AI to create fully automated ad campaigns.

 social media / content platforms

 Trust and Safety

 Unsafe content detection for user-generated content and AI-generated content.

 insurance

 Claims Intelligence

 Predict claims outcomes to reduce settlement time and improve claims management efficiency.

 social media / ecommerce

 Trend Detection

 Automatically identify trends in your content platforms through advanced clustering and content understanding.

 spellbook

 Large Language Model (LLM) App Platform

 Spellbook enables you to build, compare, and ship LLM apps in minutes.

 Compare

 Variant 1

 to

 Variant 2

 on

 Insider_trading_classification.csv
 Parameters Baseline  Smarter    
  I am a very smart computer.   
 I am a very smart computer. I am able to, given a    
 Prompts I am able to extract  call transcript, predict   
 parameters from inputs whether it contains signs   
 and outputs. Here are some examples of inputs with their correct outputs extracted. of insider trading or    
  not. If there is insider trading, I will output “insider trading”. If there are no signs of insider trading, I will output “not insider trading”. Here are some examples of calls with their correct outputs extracted.
 

 instant ml

 Vision

 Image classification, segmentation, and detection, fine-tuned on your image data.

 NYC Taxis Demo Branches Task Setup Models Quality Lab Metrics

 taxis15-fwgtt7

 METRICS: Mean Acerage Precision

 CLASS TEST TRAIN VALIDATION 
 All classes 10.228% 0.189% 17.317% 
 

 Apply AI to Specific Business Challenges:

 forge

 Automated Advertising

 Use the power of Generative AI to create fully automated ad campaigns.

 social media / content platforms

 Trend Detection

 Automatically identify trends in your content platforms through advanced clustering and content understanding.

 insurance

 Claims Intelligence

 Predict claims outcomes to reduce settlement time and improve claims management efficiency.

 social media / ecommerce

 Trust and Safety

 Unsafe content detection for user-generated content and AI-generated content.

 Learn How We Serve Enterprises Large and Small

 Case Studies & Resources

 Blog

 How OpenAI worked with Scale to build InstructGPT

 Blog

 Meet Claude: Anthropic’s rival to ChatGPT

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 Why Is ChatGPT So Good?

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 Diffusion Models: A Practical Guide

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 Toyota Research Institute

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 How Much Better Is OpenAI's Newest GPT-3 Model?

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 Guide to AI for eCommerce

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 Goodcall

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 Discovering Emerging Short Form Video Trends with Clustering and HiTL

 Guide

 Guide to Data Annotation

 Dataset

 Open Dataset: Agreement/Disagreement Dataset of Reddit Interactions

 Customers

 We have changed the game of AI data—hear it from our customers.

 “ChatGPT is a great research capability, but Scale AI’s production-ready LLM not only learned from decades of intelligence collection but also explains how and when it received its mission critical intelligence. That’s an operational imperative to earn commander trust.”

 Morgan Bishop

 Computer Scientist, Air Force Research Laboratory

 “The U.S. intelligence community has spent an enormous amount of resources on collection but the sheer volume that returns is a huge problem. Scale’s LLMs are the tool that will allow the IC to finally and fully exploit all of that intelligence that has been collected.”

 Michael Burns

 Deputy Director of Analysis, Central Intelligence Agency

 “Thanks to companies like Scale, a lot of these SaaS tools are building intelligent capabilities into their products[...] that’s a path for a lot of companies to get value from AI without becoming AI shops, which is a really formidable challenge”

 Bret Taylor

 Retired President & COO, Salesforce

 “Scale has a great focus on helping companies improve the quality of their data and the usability of their data. Scale has seen so many different applications of AI across so many different kinds of companies. I think it’s well positioned to help a company assess where it is, what’s the state of its data, what’s the state of its systems, and what kind of capability and preparedness to use sophisticated algorithms.”

 Jeff Wilke

 Retired CEO, Amazon Worldwide Consumer, Amazon Worldwide Consumer

 “One of the things we love about Scale is the fact that we can fully label the world. We can label 2D bounding boxes, 3D bounding boxes, but also semantic segmentation, including in 3D, to understand as much as possible, including scenarios we don’t foresee today.”

 Adrien Gaidon

 Machine Learning Lead, Toyota Research Institute

 The future of your industry starts here!

 Get a Demo →
 Build AI →

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 Copyright © 2023 Scale AI, Inc. All rights reserved.Terms of Use & Privacy Policy
Government     Pricing         Book a Demo   Log In          Power  Generative AI Automotive AI Government AI    With Your Data Make the best models with the best data. Scale Data Engine leverages your enterprise data, and with Scale Generative AI Platform, safely unlocks the value of AI.   Scale works with  Generative AI Companies ,  U.S. Government Agencies ,  Enterprises  &amp;  Startups      AI for the Enterprise Generative AI Architecture      Fine-Tuning and RLHF Adapt best-in-class foundation models to your business and your specific data to build sustainable, successful AI programs and data from your enterprise.   Foundation Models Scale partners or integrates with all of the leading AI models, from open-source to closed-source, including OpenAI, Anthropic, Google PaLM, Cohere, and more.   Enterprise Data Scale's Data Engine enables you to integrate your enterprise data into the fold of these models, providing the base for long-term strategic differentiation.     Enterprise Generative AI Platform The only full-stack generative AI platform for your Enterprise, powered by the Scale Data Engine.   Fine-Tuning and RLHF Adapt best-in-class foundation models to your business and your specific data to build sustainable, successful AI programs and data from your enterprise.   Foundation Models Scale partners or integrates with all of the leading AI models, from open-source to closed-source, including OpenAI, Anthropic, Google PaLM, Cohere, and more.   Enterprise Data Scale's Data Engine enables you to integrate your enterprise data into the fold of these models, providing the base for long-term strategic differentiation.    GENERATIVE AI PROVIDERS WE PARTNER WITH:     Build AI Scale Data Engine     RLHF Powering the next generation of Generative AI. Scale Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.   Data Labeling The best quality data to fuel the best performing models.   Scale has pioneered in the data labeling industry by combining AI-based techniques with human-in-the-loop, delivering labeled data at unprecedented quality, scalability, and efficiency.          Data Curation Unearth the most valuable data by intelligently managing your dataset. Scale’s suite of dataset management, testing, model evaluation, and model comparison tools enable you to “label what matters.” Maximize the value of your labeling budget by identifying the highest value data to label, even without ground truth labels.     MS COCO  Overview Charts Slices (12) Autotags    Jobs Guides Docs     MS COCO ds_bwm61zzb8mjksanms4wg    Object Class Distribution Ground Truth            Apply AI Scale Generative AI Platform   Apply AI to Specific Business Challenges:    spellbook Large Language Model (LLM) App Platform Spellbook enables you to build, compare, and ship LLM apps in minutes.     Parameters   Baseline     Smarter       Prompts I am a very smart computer.I am able to extractparameters from inputsand outputs. Here are some examples of inputs with their correct outputs extracted. I am a very smart computer.I am able to, given acall transcript, predictwhether it contains signsof insider trading ornot. If there is insider trading, I will output “insider trading”. If there are no signs of insider trading, I will output “not insider trading”. Here are some examples of calls with their correct outputs extracted.       instant ml Vision Image classification, segmentation, and detection, fine-tuned on your image data.  taxis15-fwgtt7 METRICS: Mean Acerage Precision    CLASS TEST TRAIN VALIDATION       All classes 10.228% 0.189% 17.317%         Apply AI to Specific Business Challenges:    Learn How We Serve Enterprises Large and Small Case Studies &amp; Resources      Customers We have changed the game of AI data—hear it from our customers.          “ChatGPT is a great research capability, but Scale AI’s production-ready LLM not only learned from decades of intelligence collection but also explains how and when it received its mission critical intelligence. That’s an operational imperative to earn commander trust.” Morgan Bishop Computer Scientist, Air Force Research Laboratory         “The U.S. intelligence community has spent an enormous amount of resources on collection but the sheer volume that returns is a huge problem. Scale’s LLMs are the tool that will allow the IC to finally and fully exploit all of that intelligence that has been collected.” Michael Burns Deputy Director of Analysis, Central Intelligence Agency         “Thanks to companies like Scale, a lot of these SaaS tools are building intelligent capabilities into their products[...] that’s a path for a lot of companies to get value from AI without becoming AI shops, which is a really formidable challenge” Bret Taylor Retired President &amp; COO, Salesforce         “Scale has a great focus on helping companies improve the quality of their data and the usability of their data. Scale has seen so many different applications of AI across so many different kinds of companies. I think it’s well positioned to help a company assess where it is, what’s the state of its data, what’s the state of its systems, and what kind of capability and preparedness to use sophisticated algorithms.” Jeff Wilke Retired CEO, Amazon Worldwide Consumer, Amazon Worldwide Consumer         “One of the things we love about Scale is the fact that we can fully label the world. We can label 2D bounding boxes, 3D bounding boxes, but also semantic segmentation, including in 3D, to understand as much as possible, including scenarios we don’t foresee today.” Adrien Gaidon Machine Learning Lead, Toyota Research Institute       The future of your industry starts here!
Accelerate the Development of AI Applications | Scale AI
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About Us | Scale AI
2023-01-01
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<div><div><p>Customers</p><p>We are proud to be trusted by leading companies to provide a data-centric, end-to-end solution to manage the entire ML lifecycle. Combining cutting edge technology with operational excellence, we help teams develop the highest-quality datasets because better data → better AI.</p></div>||||I|||| * Products
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 Scale In The News

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 Data-labeling company Scale AI valued at $7.3 billion with new funding

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 Copyright © 2023 Scale AI, Inc. All rights reserved.Terms of Use & Privacy Policy
Customers We are proud to be trusted by leading companies to provide a data-centric, end-to-end solution to manage the entire ML lifecycle. Combining cutting edge technology with operational excellence, we help teams develop the highest-quality datasets because better data → better AI.
About Us | Scale AI
https://scale.com/about
https://scale.com/careers?office=All&department=All
Careers | Scale AI
2023-08-02
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<div><div><main> <div><header><hr/></header><section><div><h2>Scale is growing.<br/>Grow with Us.</h2><p>Join us as we accelerate the development of AI applications</p></div></section><div></div><div><div><p>The age of AI is here. Generative AI has the potential to unseat incumbents, catapult new leaders, or solidify existing moats.</p><p>Every industry, from the private sector to public sector is rethinking their strategies to incorporate AI. Despite this explosion in interest, there is no blueprint for organizations to go from inception to deployment for their AI initiatives.</p></div><div><p>Our products for image annotation, semantic segmentation, 3D point cloud annotation, and LIDAR and RADAR annotation are used by industry leaders and provide world-class accuracy.</p><p>Our proprietary <a href="https://scale.com/data-engine"></a> powers the most advanced LLMs, generative models, and computer vision models with high-quality data. We then apply our experience partnering with leading AI companies building these models to help more organizations customize and <a href="https://scale.com/data-engine"></a> in their organizations.</p></div></div><div><div><p></p><h2>Our Internal Core Values</h2><p>Our credos provide a framework for us to make decisions and work effectively as a team, ensuring we are aligned in executing on our mission.</p></div><div><div><p></p><div><h3>Earn Customer Love</h3><p>We are passionate about our customers and devoted to their success. We know that customer trust and confidence is earned, not given, with every interaction, every delivery, and every time we solve a customer problem.</p></div></div><div><p></p><div><h3>Intellectual Rigor, Open Mind</h3><p>We think in clear verifiable hypotheses and continuously obtain data that validates or refutes them. We ask questions and challenge assumptions to get consistently to the truth.</p></div></div><div><p></p><div><h3>Ambition Shapes Reality</h3><p>We are extremely ambitious in what we can accomplish. We set high standards, expecting to fail in the short-term but knowing that failure guides us to learn and ultimately succeed.</p></div></div><div><p></p><div><h3>Team Flow</h3><p>We are energized by each other’s success and actively invest in others with care, candor, and focus. Ideas flow openly between us because we treat each other with trust and respect.</p></div></div><div><p></p><div><h3>Ownership Is The Job</h3><p>We think like owners. We embody expansive ownership and are big believers in our ability to drive outcomes and enact change.</p></div></div><div><p></p><div><h3>Run Through Walls</h3><p>We are undaunted by barriers and race towards overcoming them. We step outside of our comfort zone, test our ideas, and do the hard work to get to the right solution to a hard problem.</p></div></div><div><p></p><div><h3>Why Not Faster?</h3><p>We move with agility and intent, and swiftly make two-way door decisions that allow us to learn faster, adapt quickly, and ultimately do more.</p></div></div><div><p></p><div><h3>Results Speak Loudest</h3><p>We define goals with intent and evaluate our outcomes with objectivity. At the end of the day, we measure ourselves by our results.</p></div></div></div></div><div><p></p><h2>Meet Our Team</h2><p>No matter the role, everyone at Scale has a unique story to tell. Here are just some of them:</p></div><div><div><p></p><h2>Supporting You To Do Your Best Work</h2><p>At Scale, we believe your talent and achievements deserve to be met with a supportive community and flexible environment.</p></div><div><div><p></p><div><h3>Health &amp; Wellbeing</h3><p>Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.</p></div></div><div><p></p><div><h3>Personal &amp; Career Growth</h3><p>Continuously learn and grow through annual learning &amp; development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.</p></div></div><div><p></p><div><h3>Building Scale Community</h3><p>We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.</p></div></div><div><p></p><div><h3>Parental Support</h3><p>Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.</p></div></div></div></div><div><p></p><h2>Help us bring human intelligence to software</h2></div></div></main></div></div>||||I|||| Scale

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 Our products for image annotation, semantic segmentation, 3D point cloud annotation, and LIDAR and RADAR annotation are used by industry leaders and provide world-class accuracy.

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Scale is growing.Grow with Us. Join us as we accelerate the development of AI applications       The age of AI is here. Generative AI has the potential to unseat incumbents, catapult new leaders, or solidify existing moats. Every industry, from the private sector to public sector is rethinking their strategies to incorporate AI. Despite this explosion in interest, there is no blueprint for organizations to go from inception to deployment for their AI initiatives.   Our products for image annotation, semantic segmentation, 3D point cloud annotation, and LIDAR and RADAR annotation are used by industry leaders and provide world-class accuracy. Our proprietary   powers the most advanced LLMs, generative models, and computer vision models with high-quality data. We then apply our experience partnering with leading AI companies building these models to help more organizations customize and   in their organizations.       Our Internal Core Values Our credos provide a framework for us to make decisions and work effectively as a team, ensuring we are aligned in executing on our mission.       Earn Customer Love We are passionate about our customers and devoted to their success. We know that customer trust and confidence is earned, not given, with every interaction, every delivery, and every time we solve a customer problem.       Intellectual Rigor, Open Mind We think in clear verifiable hypotheses and continuously obtain data that validates or refutes them. We ask questions and challenge assumptions to get consistently to the truth.       Ambition Shapes Reality We are extremely ambitious in what we can accomplish. We set high standards, expecting to fail in the short-term but knowing that failure guides us to learn and ultimately succeed.       Team Flow We are energized by each other’s success and actively invest in others with care, candor, and focus. Ideas flow openly between us because we treat each other with trust and respect.       Ownership Is The Job We think like owners. We embody expansive ownership and are big believers in our ability to drive outcomes and enact change.       Run Through Walls We are undaunted by barriers and race towards overcoming them. We step outside of our comfort zone, test our ideas, and do the hard work to get to the right solution to a hard problem.       Why Not Faster? We move with agility and intent, and swiftly make two-way door decisions that allow us to learn faster, adapt quickly, and ultimately do more.       Results Speak Loudest We define goals with intent and evaluate our outcomes with objectivity. At the end of the day, we measure ourselves by our results.        Meet Our Team No matter the role, everyone at Scale has a unique story to tell. Here are just some of them:      Supporting You To Do Your Best Work At Scale, we believe your talent and achievements deserve to be met with a supportive community and flexible environment.       Health &amp; Wellbeing Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.       Personal &amp; Career Growth Continuously learn and grow through annual learning &amp; development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.       Building Scale Community We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.       Parental Support Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.        Help us bring human intelligence to software
Careers | Scale AI
https://scale.com/careers?office=All&department=All
https://www.linkedin.com/in/alexandrwang/
What I learned in 2016
2016-12-31
Alexandr Wang
<div><div>
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 About
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 Scale AI's mission is to accelerate the development of AI applications.
 
 
 
 
 
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<h2>
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 What I learned in 2016
 
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<h2>View Alexandr’s full experience</h2>
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<h2>
 Honors &amp; Awards
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 USA Physics Team
 
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 Selected as one of the top 20 physics students in the nation through competition in the USA Physics Olympiad and competed for a spot on the national International Physics Olympiad (IPhO) team.
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 Mathematical Olympiad Summer Program (MOP)
 
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 Invited to prestigious and selective mathematical olympiad training and team selection program by scoring among the top 30 in the nation on the USA Mathematical Olympiad
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 USA Mathematical Talent Search (5th place nationally)
 
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 National proof-based competition generally intended to simulate math research, funded by the NSA; Bronze Medalist (2011), Gold medal and 5th place nationally (2012)
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<h3>
 
 USA Computing Olympiad (USACO) Finalist
 
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 National Finalist and Camp Invitee (2012 - 2013), 10th place in IOI team selection (2013)
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 What I learned in 2016

 By Alexandr Wang

 Dec 31, 2016

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 * Posting my learnings from 2023, AI's biggest year yet. https://lnkd.in/gaNz8Pi2

 Posting my learnings from 2023, AI's biggest year yet. https://lnkd.in/gaNz8Pi2

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 * “The quote goes ‘we overestimate what will happen in one year, but underestimate what will happen in ten years.’ As [AI] gets more embedded into…

 “The quote goes ‘we overestimate what will happen in one year, but underestimate what will happen in ten years.’ As [AI] gets more embedded into…

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 * Life update: Bamboo Labs (Scout AI) got acquired by Scale AI! Ruben Mayer and I were inspired by Alexandr Wang's vision in building the Data Engine…

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 Honors & Awards

 * USA Physics Team

 -

 2014

 Selected as one of the top 20 physics students in the nation through competition in the USA Physics Olympiad and competed for a spot on the national International Physics Olympiad (IPhO) team.

 * Mathematical Olympiad Summer Program (MOP)

 -

 2013

 Invited to prestigious and selective mathematical olympiad training and team selection program by scoring among the top 30 in the nation on the USA Mathematical Olympiad

 * USA Mathematical Talent Search (5th place nationally)

 -

 2012

 National proof-based competition generally intended to simulate math research, funded by the NSA; Bronze Medalist (2011), Gold medal and 5th place nationally (2012)

 * USA Computing Olympiad (USACO) Finalist

 -

 National Finalist and Camp Invitee (2012 - 2013), 10th place in IOI team selection (2013)

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 * Chinese

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 More activity by Alexandr

 * 📣 Announcing SEAL: Scale's Safety, Evaluations, and Analysis Lab Fostering safe, secure, and trustworthy #AI is the bedrock of our mission at…

 📣 Announcing SEAL: Scale's Safety, Evaluations, and Analysis Lab Fostering safe, secure, and trustworthy #AI is the bedrock of our mission at…

 Liked by Alexandr Wang

 * Product Update! User Tours, Multilingual Translation, and User Referrals are now available to support the onboarding process for your Donovan trial.…

 Product Update! User Tours, Multilingual Translation, and User Referrals are now available to support the onboarding process for your Donovan trial.…

 Liked by Alexandr Wang

 * Of all the people in this list, I was most interested in the profile of Alexandr Wang and his thoughts on #nationalsecurity: "what increasingly sets…

 Of all the people in this list, I was most interested in the profile of Alexandr Wang and his thoughts on #nationalsecurity: "what increasingly sets…

 Liked by Alexandr Wang

 * I am a big fan of government contracting tools that allow for the focus to be on mission outcomes and results. Compliance is important and there are…

 I am a big fan of government contracting tools that allow for the focus to be on mission outcomes and results. Compliance is important and there are…

 Liked by Alexandr Wang

 * We’re partnering with Scale AI to provide support for enterprises fine-tuning GPT-3.5 on their proprietary data. https://lnkd.in/gWBwqvsM

 We’re partnering with Scale AI to provide support for enterprises fine-tuning GPT-3.5 on their proprietary data. https://lnkd.in/gWBwqvsM

 Liked by Alexandr Wang

 * A little life update! While I’ve been on a short (unplanned) sabbatical, I took a trip to the White House representing Kishmish, wildly obsess over…

 A little life update! While I’ve been on a short (unplanned) sabbatical, I took a trip to the White House representing Kishmish, wildly obsess over…

 Liked by Alexandr Wang

 * We’re very excited to announce Scale AI’s new office in the beautiful city of Budapest! We'll be hosting our first in person interviews and…

 We’re very excited to announce Scale AI’s new office in the beautiful city of Budapest! We'll be hosting our first in person interviews and…

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 * 6 Goals for ... and 8 Outcomes from AI Adoption | Here's an excerpt from the 2nd edition of Scale Zeitgeist: AI Readiness Report, a Scale AI survey…

 6 Goals for ... and 8 Outcomes from AI Adoption | Here's an excerpt from the 2nd edition of Scale Zeitgeist: AI Readiness Report, a Scale AI survey…

 Liked by Alexandr Wang

 * Hey all, I'm super excited to publicly share the generative AI infrastructure that I've been building at Scale lately! Today, we're publishing an…

 Hey all, I'm super excited to publicly share the generative AI infrastructure that I've been building at Scale lately! Today, we're publishing an…

 Liked by Alexandr Wang

 * 🔥 Scale AI 🔥 Generative AI | Automotive AI | Government AI Harness the potential of your data! 💪 Scale Data Engine empowers you to unlock the…

 🔥 Scale AI 🔥 Generative AI | Automotive AI | Government AI Harness the potential of your data! 💪 Scale Data Engine empowers you to unlock the…

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About
 
 
 Scale AI's mission is to accelerate the development of AI applications.
 
 
 
 
 
 
 Articles by Alexandr
 
 
 
 
 What I learned in 2016
 
 
 
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https://fortune.com/2021/04/13/scale-ai-valuation-new-funding-fundraising-data-labeling-company-startups-vc/
Data-labeling company Scale AI is worth $7.3 billion after new funding round
2021-04-13
Jeremy Kahn
<div><p><em><a href="https://mynewsletters.fortune.com/eye-on-ai">Subscribe to Eye on A.I.</a> for expert weekly analysis on the intersection of artificial intelligence and industry, delivered free to your inbox.</em></p><div>
<div><p>Scale AI, a San Francisco-based startup that specializes in helping companies label and curate data for artificial intelligence applications, has been valued at $7.3 billion in its latest funding round, announced Tuesday. </p><p><a href="https://scale.com/">The company</a> said it has raised $325 million in the latest investment round. The new financing brings the total amount of venture capital it has raised since its founding in 2016 to more than $600 million.</p><p>The latest valuation figure more than doubles the one the company received during <a href="https://fortune.com/2020/12/01/why-facebook-just-made-one-of-its-biggest-acquisitions-yet/">its last $155 million funding round in December 2020</a>. Alexandr Wang, the company’s chief executive officer, told <em>Fortune</em> that “there are no current timelines or current plans” to take the company public, but that “we are always paying attention to the market.”</p></div>
<div><p>The latest investment round was led by Dragoneer and Greenoaks Capital, both San Francisco-based investment firms, and Tiger Global, the prominent technology-focused investment company based in New York. Wellington Management and Durable Capital also joined the funding round. Existing investors Coatue Management, Index Ventures, Founder’s Fund, and Y Combinator also participated, the company said. </p><p>Jeff Wilke, a former top <a href="https://fortune.com/company/amazon-com/">Amazon</a> executive, will join the company as a special advisor to the CEO, Scale said.</p><p>The startup is among a handful of companies that have sprung up to help businesses deal with the data preparation needed to train A.I. systems, a process that often requires tens of thousands of examples to be annotated with labels. Others that also offer data labeling services include Samasource, Labelbox, Hive, Cloudfactory, and DataLoop.</p></div>
<div><p>Data labeling and curation has become <a href="https://fortune.com/2020/02/04/artificial-intelligence-data-labeling-labelbox/">a popular “picks and shovels” play</a> for investors hoping to cash in on the current A.I. boom. Scale has grown to become perhaps the largest in the sector, having branched out from an initial focus on image and video data, primarily for companies working on self-driving cars. The company now offers support for a wide variety of both vision and natural language data for businesses in industries ranging from finance to logistics to government.</p><p>Wang tells <em>Fortune</em> that the company is currently on track to earn $100 million in revenue in a 12 month period and that sales have doubled in the past year. Notable customers include <a href="https://fortune.com/company/paypal-holdings/">PayPal</a>, Pinterest, and the U.S. Air Force. The company also works with major automakers such as <a href="https://fortune.com/company/toyota-motor/">Toyota</a>, <a href="https://fortune.com/company/general-motors/">General Motors</a>.</p></div>
<div><p>The company has also grown to 300 employees, up from about 100 a year ago. </p><p>Machine learning is increasingly replacing traditional software programming as the way companies automate tasks. “Data is the new code,” Wang says.</p></div>
<p>“Data is so fundamental and critical to the building of these systems, the training, the testing,” Wang continues. “Companies need to be able to utilize and manipulate data just as they have utilized and manipulated code in the past.”</p>
<p>Scale has moved from just labeling data to a suite of software-based services. Its offerings help companies to gather, annotate, curate and clean-up their data as well as to build and monitor machine learning models trained on that data.</p>
<div><p>One software package, which it calls Nucleus, allows customers to quickly search through their data to find mislabeled examples that may be degrading an A.I. algorithm’s performance. It can also easily apply new labels to existing and new data to help an A.I. system improve by giving it more training in areas where it is weaker.</p><p>“When someone talks about 90% or 95% accuracy, that failure rate is not uniformly distributed,” says Russell Kaplan, a former senior machine learning engineer for <a href="https://fortune.com/company/tesla/">Tesla</a> who now heads the Nucleus team at Scale. All A.I. systems have statistical biases—a tendency to make mistakes. These errors often involve “edge cases,” rarer events that are not as well-represented in their training data.</p><p>Kaplan compares Nucleus to software debugging tools, but for data instead of software code. The system was built from technology he developed at a startup called Helia that Scale acquired in November 2020.</p></div>
<h3>More must-read <a href="https://fortune.com/section/tech/">tech coverage</a> from <i>Fortune</i>:</h3><ul><li>The global chip shortage <a href="https://fortune.com/2021/04/08/chip-shortage-apple-semiconductors/">may be hitting Apple</a></li><li>Everything to know about <a href="https://fortune.com/2021/04/07/facebooks-data-leak-everything-to-know/">Facebook’s huge data leak</a></li><li>T-Mobile is <a href="https://fortune.com/2021/04/07/t-mobile-5g-unlimited-all-customers-verizon-att/">giving away unlimited 5G</a> data to all customers</li><li>Twitch may now ban users <a href="https://fortune.com/2021/04/07/twitch-hateful-conduct-harassment-banned-suspension-misconduct/">for “severe misconduct” that takes place off its service</a></li><li>With pandemic’s end in sight, <a href="https://fortune.com/2021/04/07/resort-hotel-google-searches-travel-industry-coronavirus-vaccination/">Google searches for resorts and hotels are highest in nearly a decade</a></li></ul></div>||||I|||| * Subscribe Now
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 Tech ·A.I.

 Data-labeling company Scale AI valued at $7.3 billion with new funding

 BY Jeremy Kahn
 April 13, 2021, 5:00 PM UTC

 Subscribe to Eye on A.I. for expert weekly analysis on the intersection of artificial intelligence and industry, delivered free to your inbox.

 Scale AI, a San Francisco-based startup that specializes in helping companies label and curate data for artificial intelligence applications, has been valued at $7.3 billion in its latest funding round, announced Tuesday.

 The company said it has raised $325 million in the latest investment round. The new financing brings the total amount of venture capital it has raised since its founding in 2016 to more than $600 million.

 The latest valuation figure more than doubles the one the company received during its last $155 million funding round in December 2020. Alexandr Wang, the company’s chief executive officer, told Fortune that “there are no current timelines or current plans” to take the company public, but that “we are always paying attention to the market.”

 The latest investment round was led by Dragoneer and Greenoaks Capital, both San Francisco-based investment firms, and Tiger Global, the prominent technology-focused investment company based in New York. Wellington Management and Durable Capital also joined the funding round. Existing investors Coatue Management, Index Ventures, Founder’s Fund, and Y Combinator also participated, the company said.

 Jeff Wilke, a former top Amazon executive, will join the company as a special advisor to the CEO, Scale said.

 The startup is among a handful of companies that have sprung up to help businesses deal with the data preparation needed to train A.I. systems, a process that often requires tens of thousands of examples to be annotated with labels. Others that also offer data labeling services include Samasource, Labelbox, Hive, Cloudfactory, and DataLoop.

 Data labeling and curation has become a popular “picks and shovels” play for investors hoping to cash in on the current A.I. boom. Scale has grown to become perhaps the largest in the sector, having branched out from an initial focus on image and video data, primarily for companies working on self-driving cars. The company now offers support for a wide variety of both vision and natural language data for businesses in industries ranging from finance to logistics to government.

 Wang tells Fortune that the company is currently on track to earn $100 million in revenue in a 12 month period and that sales have doubled in the past year. Notable customers include PayPal, Pinterest, and the U.S. Air Force. The company also works with major automakers such as Toyota, General Motors.

 The company has also grown to 300 employees, up from about 100 a year ago.

 Machine learning is increasingly replacing traditional software programming as the way companies automate tasks. “Data is the new code,” Wang says.

 “Data is so fundamental and critical to the building of these systems, the training, the testing,” Wang continues. “Companies need to be able to utilize and manipulate data just as they have utilized and manipulated code in the past.”

 Scale has moved from just labeling data to a suite of software-based services. Its offerings help companies to gather, annotate, curate and clean-up their data as well as to build and monitor machine learning models trained on that data.

 One software package, which it calls Nucleus, allows customers to quickly search through their data to find mislabeled examples that may be degrading an A.I. algorithm’s performance. It can also easily apply new labels to existing and new data to help an A.I. system improve by giving it more training in areas where it is weaker.

 “When someone talks about 90% or 95% accuracy, that failure rate is not uniformly distributed,” says Russell Kaplan, a former senior machine learning engineer for Tesla who now heads the Nucleus team at Scale. All A.I. systems have statistical biases—a tendency to make mistakes. These errors often involve “edge cases,” rarer events that are not as well-represented in their training data.

 Kaplan compares Nucleus to software debugging tools, but for data instead of software code. The system was built from technology he developed at a startup called Helia that Scale acquired in November 2020.

 More must-read tech coverage from Fortune :

 * The global chip shortage may be hitting Apple
 * Everything to know about Facebook’s huge data leak
 * T-Mobile is giving away unlimited 5G data to all customers
 * Twitch may now ban users for “severe misconduct” that takes place off its service
 * With pandemic’s end in sight, Google searches for resorts and hotels are highest in nearly a decade

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Subscribe to Eye on A.I. for expert weekly analysis on the intersection of artificial intelligence and industry, delivered free to your inbox.  
 Scale AI, a San Francisco-based startup that specializes in helping companies label and curate data for artificial intelligence applications, has been valued at $7.3 billion in its latest funding round, announced Tuesday.   The company said it has raised $325 million in the latest investment round. The new financing brings the total amount of venture capital it has raised since its founding in 2016 to more than $600 million. The latest valuation figure more than doubles the one the company received during its last $155 million funding round in December 2020. Alexandr Wang, the company’s chief executive officer, told Fortune that “there are no current timelines or current plans” to take the company public, but that “we are always paying attention to the market.” 
 The latest investment round was led by Dragoneer and Greenoaks Capital, both San Francisco-based investment firms, and Tiger Global, the prominent technology-focused investment company based in New York. Wellington Management and Durable Capital also joined the funding round. Existing investors Coatue Management, Index Ventures, Founder’s Fund, and Y Combinator also participated, the company said.  Jeff Wilke, a former top Amazon executive, will join the company as a special advisor to the CEO, Scale said. The startup is among a handful of companies that have sprung up to help businesses deal with the data preparation needed to train A.I. systems, a process that often requires tens of thousands of examples to be annotated with labels. Others that also offer data labeling services include Samasource, Labelbox, Hive, Cloudfactory, and DataLoop. 
 Data labeling and curation has become a popular “picks and shovels” play for investors hoping to cash in on the current A.I. boom. Scale has grown to become perhaps the largest in the sector, having branched out from an initial focus on image and video data, primarily for companies working on self-driving cars. The company now offers support for a wide variety of both vision and natural language data for businesses in industries ranging from finance to logistics to government. Wang tells Fortune that the company is currently on track to earn $100 million in revenue in a 12 month period and that sales have doubled in the past year. Notable customers include PayPal, Pinterest, and the U.S. Air Force. The company also works with major automakers such as Toyota, General Motors. 
 The company has also grown to 300 employees, up from about 100 a year ago.  Machine learning is increasingly replacing traditional software programming as the way companies automate tasks. “Data is the new code,” Wang says. 
“Data is so fundamental and critical to the building of these systems, the training, the testing,” Wang continues. “Companies need to be able to utilize and manipulate data just as they have utilized and manipulated code in the past.”
Scale has moved from just labeling data to a suite of software-based services. Its offerings help companies to gather, annotate, curate and clean-up their data as well as to build and monitor machine learning models trained on that data.
 One software package, which it calls Nucleus, allows customers to quickly search through their data to find mislabeled examples that may be degrading an A.I. algorithm’s performance. It can also easily apply new labels to existing and new data to help an A.I. system improve by giving it more training in areas where it is weaker. “When someone talks about 90% or 95% accuracy, that failure rate is not uniformly distributed,” says Russell Kaplan, a former senior machine learning engineer for Tesla who now heads the Nucleus team at Scale. All A.I. systems have statistical biases—a tendency to make mistakes. These errors often involve “edge cases,” rarer events that are not as well-represented in their training data. Kaplan compares Nucleus to software debugging tools, but for data instead of software code. The system was built from technology he developed at a startup called Helia that Scale acquired in November 2020. 
More must-read tech coverage from Fortune:  The global chip shortage may be hitting Apple  Everything to know about Facebook’s huge data leak  T-Mobile is giving away unlimited 5G data to all customers Twitch may now ban users for “severe misconduct” that takes place off its service  With pandemic’s end in sight, Google searches for resorts and hotels are highest in nearly a decade
Data-labeling company Scale AI is worth $7.3 billion after new funding round
https://fortune.com/2021/04/13/scale-ai-valuation-new-funding-fundraising-data-labeling-company-startups-vc/
https://aisupremacy.substack.com/p/what-is-scale-ai
What is Scale AI?
2022-06-15T20:00:26Z
Michael Spencer
<html><body><div><div><article><div><h3>Alexandr Wang is the new youngest self-made billionaire</h3></div><div><div><div><figure><a href="https://substackcdn.com/image/fetch/f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fd3d12e82-e126-4b2e-9aa9-48c7f2e57fa8_666x384.png"><div></div></a></figure></div><p>At AiSupremacy, part of my mission statement is to cover innovative companies and startups in the space. Alexandr Wang recently put out PR and I wanted to take a look at Scale AI. </p><p><strong>AiSupremacy</strong><span> I recently crossed the $6,000 GAR (gross annualized revenue) threshold after six months of intense writing. So I wanted to say a big thank you to my readers, spons…</span></p></div><div><h2>Keep reading with a 7-day free trial</h2><p>Subscribe to <span>AI Supremacy </span> to keep reading this post and get 7 days of free access to the full post archives.</p></div></div></article></div></div></body></html>
Alexandr Wang is the new youngest self-made billionaire            At AiSupremacy, part of my mission statement is to cover innovative companies and startups in the space. Alexandr Wang recently put out PR and I wanted to take a look at Scale AI.   AiSupremacy  I recently crossed the $6,000 GAR (gross annualized revenue) threshold after six months of intense writing. So I wanted to say a big thank you to my readers, spons…    Keep reading with a 7-day free trial Subscribe to AI Supremacy  to keep reading this post and get 7 days of free access to the full post archives.
What is Scale AI?
https://aisupremacy.substack.com/p/what-is-scale-ai
https://investmentu.com/scale-ai-ipo/
Scale AI IPO: Latest Updates on Scale AI Stock
2022-06-14
Ben Broadwater
<div><div>
<p>Investors are eagerly waiting for news on the Scale AI IPO. The company is at the forefront of machine learning systems as the world transitions from traditional software programming. So, when can investors get in on Scale AI stock?</p>
<p></p>
<h2>Scale AI IPO: About the Business</h2>
<p>Scale AI is an artificial intelligence (<a href="https://investmentu.com/making-money-artificial-intelligence/">AI</a>) data platform. In addition to collecting, annotating, curating and cleaning up data, it supports the development and monitoring of machine learning models. From finance to logistics to government, the firm provides a wide range of vision and natural language data to businesses.</p>
<p>Data labeling and identification are some of the startup’s core competencies. As a result, companies like Toyota, the <a href="https://investmentu.com/best-military-stocks-to-buy/">U.S. military</a>, <a href="https://investmentu.com/paypal-stock/">PayPal</a>, Square, Samsung, Lyft and <a href="https://investmentu.com/airbnb-stock/">Airbnb</a> can focus on product development instead. For example, Toyota uses Scale for its autonomous vehicles. As a result, Scale’s services <a href="https://scale.com/blog/series-e">helped improve</a> Toyota’s annotation throughput by 10X in a matter of weeks.</p>
<p>Moreover, this <a href="https://investmentu.com/ai-companies-to-invest-in/">AI company</a> is at the forefront of the artificial intelligence industry. These machine learning systems are rapidly replacing traditional <a href="https://investmentu.com/saas-stocks/">software</a> programming as the way companies automate tasks. According to Scale’s CEO Alexandr Wang, “<a href="https://investmentu.com/big-data-stocks/">data</a> is the new code.”</p>
<blockquote><p>Data is so fundamental and critical to the building of these systems, the training, the testing. Companies need to be able to utilize and manipulate data just as they have utilized and manipulated code in the past.</p></blockquote>
<p>Speaking of Scale’s CEO, the 25-year-old business mogul just coined headlines for becoming the world’s youngest self-made billionaire. This is widely due to the company’s pivotal technology in the AI space. Moreover, this is promising for the Scale AI IPO…</p>
<h2>Scale AI CEO Could Be ‘Next Elon Musk’</h2>
<p>Alexandr Wang recently made <a href="https://www.forbes.com/sites/colehorton/2022/05/25/the-new-youngest-self-made-billionaire-in-the-world-is-a-25-year-old-college-dropout/?sh=2a4d1e05494b">headlines</a> for becoming the world’s youngest self-made billionaire. Moreover, he is heralded as the next <a href="https://investmentu.com/twitter-stock/">Elon Musk</a> for being the mastermind behind the growth of Scale.</p>
<p>As investors look to capitalize on the current AI boom, data labeling and curation have become a popular play. Having initially focused on image and video data for <a href="https://investmentu.com/best-self-driving-car-stocks/">self-driving car companies</a>, the company has grown to be one of the largest in the sector. Today, Scale offers services for data in nearly every industry.</p>
<p>The young business mogul curated a platform that major industry leaders rely on every day. After taking the lead for the world’s youngest self-made billionaire, Wang <a href="https://techcrunch.com/2021/11/03/scale-ai-acquires-siasearch-to-give-companies-the-same-data-engine-superpowers-that-tesla-has/">explained</a> some of Scale’s goals…</p>
<blockquote><p> Every industry is sitting on huge amounts of data. Our goal is to help them unlock the potential of the data and supercharge their businesses with AI.</p>
<p>Basically what every AI team is really looking for, is how do we supercharge our machine learning development and accelerate our data set efforts, as much as Tesla’s been able to. We’re just going to give them the same superpowers that Tesla has in terms of being able to constantly supercharge their algorithms with the most relevant, most interesting data from their mobile fleets.</p>
<p>I think the story of technology is one of exponential curves. Of everything getting faster and happening faster than anyone can imagine. We think that AI is going to change our daily lives just as much as the internet did, or even potentially more.</p></blockquote>
<p>The company is proving to be valuable with its innovative technology. Its success has led to high-profile clients like <a href="https://investmentu.com/how-to-invest-in-google/">Google’s Alphabet</a> and <a href="https://investmentu.com/procter-gamble-dividend-history-safe/">P&amp;G</a>. However, the company entered the next level when it secured $350 million in government <a href="https://investmentu.com/defense-stocks/">defense</a> contracts. So, let’s look at the company’s finances…</p>
<h2>Scale AI IPO: A Look at the Finances</h2>
<p>Scale landed a $7.3 billion <a href="https://investmentu.com/business-valuation/">business valuation</a> following its latest <a href="https://investmentu.com/seed-investment/">funding</a> round that took place in April 2021. According to the company, the latest investment round raised $325 million. Including the new financing, it has raised over $600 million in <a href="https://investmentu.com/investment-capital/">investment capital</a> since its founding in 2016.</p>
<p>With the latest valuation figure, the company has more than doubled its $3.5 billion value when it closed its most recent funding round in December 2020 for $155 million.</p>
<p>Moreover, at the time of the April 2021 funding, Wang told <a href="https://fortune.com/2021/04/13/scale-ai-valuation-new-funding-fundraising-data-labeling-company-startups-vc/">Fortune</a> that the company was currently on track to earn $100 million in <a href="https://investmentu.com/revenue-vs-profit/">revenue</a> in a 12-month period. Furthermore, the CEO claims that sales doubled from 2020 to 2021. The company’s financials indicate that the Scale AI IPO could take place soon. So, when can investors expect Scale AI stock?</p>
<h2>When Will Scale AI IPO?</h2>
<p>There have not been any announcements about the Scale AI IPO – yet. Alexandr Wang told Fortune that “there are no current timelines or current plans” to take the company public. However, he added that “we are always paying attention to the market.”</p>
<p>Based on recent appointments to top management, we expect the company to become public through a <a href="https://investmentu.com/spac-vs-ipo/">SPAC or IPO</a> in 2-3 years. However, As of now, the company has not filed paperwork with the <a href="https://investmentu.com/securities-and-exchange-commission-sec/">Securities and Exchange Commission</a> (SEC) to begin the <a href="https://investmentu.com/ipo-process-guide-to-going-public/">IPO process</a>.</p>
<p>Keep an eye out for updates on the Scale AI IPO. When investing, make sure to do thorough research on the company. The initial months following an IPO can be volatile. And share prices can change quickly.</p>
<p>Moreover, if you’re looking for other IPO opportunities, check out our <a href="https://investmentu.com/recent-ipos/">top recent IPOs</a> and our <a href="https://investmentu.com/ipo-calendar/">IPO calendar</a>. We update it daily to give you the latest news on upcoming and filed IPOs.</p>
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 Investment Opportunities

 Scale AI IPO: Latest Updates on Scale AI Stock

 By Ben Broadwater

 Updated Jul 14, 2023 at 8:23AM

 Investors are eagerly waiting for news on the Scale AI IPO. The company is at the forefront of machine learning systems as the world transitions from traditional software programming. So, when can investors get in on Scale AI stock?

 Scale AI IPO: About the Business

 Scale AI is an artificial intelligence (AI) data platform. In addition to collecting, annotating, curating and cleaning up data, it supports the development and monitoring of machine learning models. From finance to logistics to government, the firm provides a wide range of vision and natural language data to businesses.

 Data labeling and identification are some of the startup’s core competencies. As a result, companies like Toyota, the U.S. military, PayPal, Square, Samsung, Lyft and Airbnb can focus on product development instead. For example, Toyota uses Scale for its autonomous vehicles. As a result, Scale’s services helped improve Toyota’s annotation throughput by 10X in a matter of weeks.

 Moreover, this AI company is at the forefront of the artificial intelligence industry. These machine learning systems are rapidly replacing traditional software programming as the way companies automate tasks. According to Scale’s CEO Alexandr Wang, “data is the new code.”

 Data is so fundamental and critical to the building of these systems, the training, the testing. Companies need to be able to utilize and manipulate data just as they have utilized and manipulated code in the past.

 Speaking of Scale’s CEO, the 25-year-old business mogul just coined headlines for becoming the world’s youngest self-made billionaire. This is widely due to the company’s pivotal technology in the AI space. Moreover, this is promising for the Scale AI IPO…

 Scale AI CEO Could Be ‘Next Elon Musk’

 Alexandr Wang recently made headlines for becoming the world’s youngest self-made billionaire. Moreover, he is heralded as the next Elon Musk for being the mastermind behind the growth of Scale.

 As investors look to capitalize on the current AI boom, data labeling and curation have become a popular play. Having initially focused on image and video data for self-driving car companies, the company has grown to be one of the largest in the sector. Today, Scale offers services for data in nearly every industry.

 The young business mogul curated a platform that major industry leaders rely on every day. After taking the lead for the world’s youngest self-made billionaire, Wang explained some of Scale’s goals…

 Every industry is sitting on huge amounts of data. Our goal is to help them unlock the potential of the data and supercharge their businesses with AI.

 Basically what every AI team is really looking for, is how do we supercharge our machine learning development and accelerate our data set efforts, as much as Tesla’s been able to. We’re just going to give them the same superpowers that Tesla has in terms of being able to constantly supercharge their algorithms with the most relevant, most interesting data from their mobile fleets.

 I think the story of technology is one of exponential curves. Of everything getting faster and happening faster than anyone can imagine. We think that AI is going to change our daily lives just as much as the internet did, or even potentially more.

 The company is proving to be valuable with its innovative technology. Its success has led to high-profile clients like Google’s Alphabet and P&G. However, the company entered the next level when it secured $350 million in government defense contracts. So, let’s look at the company’s finances…

 Scale AI IPO: A Look at the Finances

 Scale landed a $7.3 billion business valuation following its latest funding round that took place in April 2021. According to the company, the latest investment round raised $325 million. Including the new financing, it has raised over $600 million in investment capital since its founding in 2016.

 With the latest valuation figure, the company has more than doubled its $3.5 billion value when it closed its most recent funding round in December 2020 for $155 million.

 Moreover, at the time of the April 2021 funding, Wang told Fortune that the company was currently on track to earn $100 million in revenue in a 12-month period. Furthermore, the CEO claims that sales doubled from 2020 to 2021. The company’s financials indicate that the Scale AI IPO could take place soon. So, when can investors expect Scale AI stock?

 When Will Scale AI IPO?

 There have not been any announcements about the Scale AI IPO – yet. Alexandr Wang told Fortune that “there are no current timelines or current plans” to take the company public. However, he added that “we are always paying attention to the market.”

 Based on recent appointments to top management, we expect the company to become public through a SPAC or IPO in 2-3 years. However, As of now, the company has not filed paperwork with the Securities and Exchange Commission (SEC) to begin the IPO process.

 Keep an eye out for updates on the Scale AI IPO. When investing, make sure to do thorough research on the company. The initial months following an IPO can be volatile. And share prices can change quickly.

 Moreover, if you’re looking for other IPO opportunities, check out our top recent IPOs and our IPO calendar. We update it daily to give you the latest news on upcoming and filed IPOs.

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Investors are eagerly waiting for news on the Scale AI IPO. The company is at the forefront of machine learning systems as the world transitions from traditional software programming. So, when can investors get in on Scale AI stock?
 
Scale AI IPO: About the Business
Scale AI is an artificial intelligence (AI) data platform. In addition to collecting, annotating, curating and cleaning up data, it supports the development and monitoring of machine learning models. From finance to logistics to government, the firm provides a wide range of vision and natural language data to businesses.
Data labeling and identification are some of the startup’s core competencies. As a result, companies like Toyota, the U.S. military, PayPal, Square, Samsung, Lyft and Airbnb can focus on product development instead. For example, Toyota uses Scale for its autonomous vehicles. As a result, Scale’s services helped improve Toyota’s annotation throughput by 10X in a matter of weeks.
Moreover, this AI company is at the forefront of the artificial intelligence industry. These machine learning systems are rapidly replacing traditional software programming as the way companies automate tasks. According to Scale’s CEO Alexandr Wang, “data is the new code.”
 Data is so fundamental and critical to the building of these systems, the training, the testing. Companies need to be able to utilize and manipulate data just as they have utilized and manipulated code in the past. 
Speaking of Scale’s CEO, the 25-year-old business mogul just coined headlines for becoming the world’s youngest self-made billionaire. This is widely due to the company’s pivotal technology in the AI space. Moreover, this is promising for the Scale AI IPO…
Scale AI CEO Could Be ‘Next Elon Musk’
Alexandr Wang recently made headlines for becoming the world’s youngest self-made billionaire. Moreover, he is heralded as the next Elon Musk for being the mastermind behind the growth of Scale.
As investors look to capitalize on the current AI boom, data labeling and curation have become a popular play. Having initially focused on image and video data for self-driving car companies, the company has grown to be one of the largest in the sector. Today, Scale offers services for data in nearly every industry.
The young business mogul curated a platform that major industry leaders rely on every day. After taking the lead for the world’s youngest self-made billionaire, Wang explained some of Scale’s goals…
  Every industry is sitting on huge amounts of data. Our goal is to help them unlock the potential of the data and supercharge their businesses with AI.
Basically what every AI team is really looking for, is how do we supercharge our machine learning development and accelerate our data set efforts, as much as Tesla’s been able to. We’re just going to give them the same superpowers that Tesla has in terms of being able to constantly supercharge their algorithms with the most relevant, most interesting data from their mobile fleets.
I think the story of technology is one of exponential curves. Of everything getting faster and happening faster than anyone can imagine. We think that AI is going to change our daily lives just as much as the internet did, or even potentially more. 
The company is proving to be valuable with its innovative technology. Its success has led to high-profile clients like Google’s Alphabet and P&amp;G. However, the company entered the next level when it secured $350 million in government defense contracts. So, let’s look at the company’s finances…
Scale AI IPO: A Look at the Finances
Scale landed a $7.3 billion business valuation following its latest funding round that took place in April 2021. According to the company, the latest investment round raised $325 million. Including the new financing, it has raised over $600 million in investment capital since its founding in 2016.
With the latest valuation figure, the company has more than doubled its $3.5 billion value when it closed its most recent funding round in December 2020 for $155 million.
Moreover, at the time of the April 2021 funding, Wang told Fortune that the company was currently on track to earn $100 million in revenue in a 12-month period. Furthermore, the CEO claims that sales doubled from 2020 to 2021. The company’s financials indicate that the Scale AI IPO could take place soon. So, when can investors expect Scale AI stock?
When Will Scale AI IPO?
There have not been any announcements about the Scale AI IPO – yet. Alexandr Wang told Fortune that “there are no current timelines or current plans” to take the company public. However, he added that “we are always paying attention to the market.”
Based on recent appointments to top management, we expect the company to become public through a SPAC or IPO in 2-3 years. However, As of now, the company has not filed paperwork with the Securities and Exchange Commission (SEC) to begin the IPO process.
Keep an eye out for updates on the Scale AI IPO. When investing, make sure to do thorough research on the company. The initial months following an IPO can be volatile. And share prices can change quickly.
Moreover, if you’re looking for other IPO opportunities, check out our top recent IPOs and our IPO calendar. We update it daily to give you the latest news on upcoming and filed IPOs.
Scale AI IPO: Latest Updates on Scale AI Stock
https://investmentu.com/scale-ai-ipo/
https://www.mesoscale.com/
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Did You Know We Also Manufacture These Products?
  
  
 
 
  
 
 
 
 
 C Series
 The C series portable counting scales are available in 30 lb/15 kg, 65 lb/30 kg, and 100 lb/50 kg...
 
 
 
 
 
 
  
 
 
 
 
 Mariner WPS12 Submersible
 DETECTO’s Mariner® IP67 washdown portion control scale is submersible underwater for easy clea...
 
 
 
 
 
 
  
 
 
 
 
 VET330WH
 DETECTO’s VET-330WH veterinary and general purpose digital scale can be used for weighing anima...
 
 
 
 
 
 
  
 
 
 
 
 solo Digital Eye-Level Physician Scale
 DETECTO’s solo® eye-level clinical scale is the most economical, high-quality digital physicia...
 
 
 
 
 
 
 
 
 
  
 
 
 
 
 SlimTALK XL Talking Scale
 DETECTO’s SlimTALK XL talking bathroom scales are ideal for the elderly, obese, blind, and tele...
 
 
 
 
 
 
  
 
 
 
 
 PZ Series Wireless Digital
 DETECTO’s PZ series wireless ingredient scales provide a wireless connection between the scale ...
 
 
 
 
 
 
  
 
 
 
 
 DL Series with Integral Printer
 DETECTO’s DL series networkable price computing scales with integral label printers features 5,...
 
 
 
 
 
 
  
 
 
 
 
 6560, Portable with Handrail
 DETECTO’s 6560 is a multi-purpose clinical scale for wheelchair weighing and it also features a...
Self-Contained NTEP Mobile Animal Weighing
https://cardinalscale.com/
https://www.healthatscale.com/
Health at Scale
2022-01-01
None
<div><div>
 
 
<article>
 
 
 
 
 
<section>
 <div>
 
 
 
 
 
 
 
 
 
 
 
 <p></p>
 
 
 </div>
 <div>
 <h2>Hyper-personalized healthcare. <br />For the decisions that matter most.</h2><p>Every person is unique. It’s time their healthcare is too.</p>
</div>
 
 
</section>
 
 
 
 
<div>
 <h3>Harness the power of hyper-personalized machine intelligence</h3><p>There is no “average” person, however healthcare often treats different individuals the same. Health at Scale’s purpose-built solutions reach new levels of hyper-personalization – optimizing outcomes for patients, payers, employers, and providers alike. Gone are the days of reactive, cookie-cutter healthcare experiences. Health at Scale is ushering in a new era of care that is proactive, personalized, and precise.</p>
</div>
 
 
 
 
<div><div>
 
 
 
 <p></p>
 
 </div><div>
 <h3>Who uses our technology</h3><ul><li><p>Health plans</p></li><li><p>Employers</p></li><li><p>TPAs, brokers and consultants</p></li><li><p>Providers and ACOs</p></li><li><p>Pharmacies and PBMs</p></li></ul>
</div></div>
 
 
 
 
<div><div>
<p>
 </p><h3>Precision, where it counts -<br />Explore our products</h3>
<p></p>
</div><div>
 
 
 
 <p></p>
 
 </div><div>
 <p><strong>Precision Health™</strong></p><p>A comprehensive health benefit combining targeted outreach and personalized health guidance. Supported by our team of experienced clinicians.</p>
</div><div>
 
 
 
 <p></p>
 
 </div><div>
 <p><strong>Precision Navigation™</strong></p><p>Personalized provider navigation for each of your unique members across 70+ commonly used specialties, procedures, and imaging.</p>
</div><div>
 
 
 
 <p></p>
 
 </div><div>
 <p><strong>Precision Interception™</strong></p><p>Proactive rising risk prediction, engagement, and mitigation that curbs the high cost claimant trend.</p>
</div><div>
 
 
 
 <p></p>
 
 </div><div>
 <p><strong>Precision Pharmacy™</strong></p><p>Surface addressable opportunities to improve adherence, close gaps, and reduce errors.</p>
</div><div>
 
 
 
 <p></p>
 
 </div><div>
 <p><strong>Precision Wellness™</strong></p><p>Track health at home and drive better food and lifestyle choices in community settings.</p>
</div><div>
 
 
 
 <p></p>
 
 </div><div>
 <p><strong>Precision FWA Detection™</strong></p><p>Fine-grained detection of fraud, waste and abuse before care is authorized or payments are made.</p>
</div></div>
 
 
 
 
<div>
<p>
 </p><h2>Let’s transform healthcare together</h2>
<p></p>
</div>
 
</article>
 
 
 
 
 
 </div></div>||||I|||| 0
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 Hyper-personalized healthcare. 
 For the decisions that matter most.

 Every person is unique. It’s time their healthcare is too.

 Harness the power of hyper-personalized machine intelligence

 There is no “average” person, however healthcare often treats different individuals the same. Health at Scale’s purpose-built solutions reach new levels of hyper-personalization – optimizing outcomes for patients, payers, employers, and providers alike. Gone are the days of reactive, cookie-cutter healthcare experiences. Health at Scale is ushering in a new era of care that is proactive, personalized, and precise.

 Who uses our technology

 * Health plans

 * Employers

 * TPAs, brokers and consultants

 * Providers and ACOs

 * Pharmacies and PBMs

 Precision, where it counts -
 Explore our products

 Precision Health™

 A comprehensive health benefit combining targeted outreach and personalized health guidance. Supported by our team of experienced clinicians.

 Precision Navigation™

 Personalized provider navigation for each of your unique members across 70+ commonly used specialties, procedures, and imaging.

 Precision Interception™

 Proactive rising risk prediction, engagement, and mitigation that curbs the high cost claimant trend.

 Precision Pharmacy™

 Surface addressable opportunities to improve adherence, close gaps, and reduce errors.

 Precision Wellness™

 Track health at home and drive better food and lifestyle choices in community settings.

 Precision FWA Detection™

 Fine-grained detection of fraud, waste and abuse before care is authorized or payments are made.

 Let’s transform healthcare together

 Request Demo

 Questions?

 Contact us

 Privacy policy﻿

 © 2022 Health at Scale Corp. All Rights Reserved.

Hyper-personalized healthcare. For the decisions that matter most. Every person is unique. It’s time their healthcare is too.
 
 
 
 
 
 
 Harness the power of hyper-personalized machine intelligence There is no “average” person, however healthcare often treats different individuals the same. Health at Scale’s purpose-built solutions reach new levels of hyper-personalization – optimizing outcomes for patients, payers, employers, and providers alike. Gone are the days of reactive, cookie-cutter healthcare experiences. Health at Scale is ushering in a new era of care that is proactive, personalized, and precise.
 
 
 
 
 
 
 
 
  
 
  
 Who uses our technology   Health plans   Employers   TPAs, brokers and consultants   Providers and ACOs   Pharmacies and PBMs  
 
 
 
 
 
 
  Precision, where it counts -Explore our products
 
 
 
 
 
  
 
  
  Precision Health™  A comprehensive health benefit combining targeted outreach and personalized health guidance. Supported by our team of experienced clinicians.
 
 
 
 
  
 
  
  Precision Navigation™  Personalized provider navigation for each of your unique members across 70+ commonly used specialties, procedures, and imaging.
 
 
 
 
  
 
  
  Precision Interception™  Proactive rising risk prediction, engagement, and mitigation that curbs the high cost claimant trend.
 
 
 
 
  
 
  
  Precision Pharmacy™  Surface addressable opportunities to improve adherence, close gaps, and reduce errors.
 
 
 
 
  
 
  
  Precision Wellness™  Track health at home and drive better food and lifestyle choices in community settings.
 
 
 
 
  
 
  
  Precision FWA Detection™  Fine-grained detection of fraud, waste and abuse before care is authorized or payments are made.
 
 
 
 
 
  Let’s transform healthcare together
Health at Scale
https://www.healthatscale.com/
https://www.linkedin.com/company/scaleai/
Scale AI | LinkedIn
2023-10-11
None
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 San Francisco, California 105,071 followers
 
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 About us
 </h2>
<div>
<p>At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. 
The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.
Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea. </p>
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 Software Development
 
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 San Francisco, California
 
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 Computer Vision, Data Annotation, Sensor Fusion, Machine Learning, Autonomous Driving, APIs, Ground Truth Data, Training Data, Deep Learning, Robotics, Drones, NLP, and Document Processing
 
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<section>
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 Locations
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</section>
<section>
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 Employees at Scale AI
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 Updates
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<article>
<p>Happy December! It’s Donovan Feature Friday! 🌟
Like any large organization, the DoD and IC have their own language. Donovan helps you learn and incorporate it.
Donovan empowers users with responses tailored to the unique language of the DoD and IC. By incorporating canonical documents, Donovan can recognize DoD and IC specific acronyms and terms to provide users with optimal responses.
Try it out yourself! Sign up for a free trial here 👉 <a href="https://lnkd.in/g4ZtxCBH?trk=organization_guest_main-feed-card-text">https://lnkd.in/g4ZtxCBH</a>    </p>
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 105,071 followers
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<p>
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<p>Optimizing LLM applications is not a linear process. You must first diagnose the problem your model is having and then apply the correct series of techniques to optimize it. 
The typical approach is to start with prompt engineering, move on to retrieval-augmented generation, and finish with fine-tuning. 
But this fails to account for the actual problem your model may have. Without diagnosing what needs to be optimized, following this linear approach won’t fix your application. 
Instead, <a href="https://uk.linkedin.com/in/colin-jarvis-50019658?trk=organization_guest_main-feed-card-text">Colin Jarvis</a> from <a href="https://www.linkedin.com/company/openai?trk=organization_guest_main-feed-card-text">OpenAI</a> advises to approach optimization from the lens of how the model needs to act vs what the model needs to know.
👉 Step 1: Start with prompt engineering. Begin with a simple prompt, add context and iterate to see if your prompt is successful at all.
👉 Step 2: Add some few-shot examples and if that increases the performance of your prompts, your model needs additional context. Use retrieval-augmented generation.
👉 Step 3: If the problem is not the lack of context, but something like your model is creating syntactically incorrect sql queries with the context that it's getting, use fine-tuning.  
These techniques are NOT mutually exclusive and often work best in tandem. 
Colin gives an example approach to optimizing an LLM application in the full tech talk. Watch here → <a href="https://lnkd.in/g3fqUkNf?trk=organization_guest_main-feed-card-text">https://lnkd.in/g3fqUkNf</a> </p>
</article>
</li>
<li>
<article>
<p>
<a href="https://www.linkedin.com/company/scaleai?trk=organization_guest_main-feed-card_feed-reaction-header">Scale AI</a> reposted this
 </p>
<p><a href="https://www.linkedin.com/company/scaleai?trk=organization_guest_main-feed-card-text">Scale AI</a> has collaborated with NVIDIA to build HelpSteer, an open-source dataset for building helpful LLMs with NVIDIA NeMo SteerLM.
With HelpSteer, developers can now guide <a href="https://www.linkedin.com/signup?session_redirect=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2Fllm&amp;trk=organization_guest_main-feed-card-text">#LLM</a> responses on additional attributes like complexity and verbosity and enhance the overall controllability of the LLM responses during inference with just one customization run.
Learn more about the dataset from our announcement blog: <a href="https://nvda.ws/3T5K9lT?trk=organization_guest_main-feed-card-text">https://nvda.ws/3T5K9lT</a></p>
<a href="https://www.linkedin.com/redir/redirect?url=https%3A%2F%2Fdeveloper%2Envidia%2Ecom%2Fblog%2Fannouncing-helpsteer-an-open-source-dataset-for-building-helpful-llms%2F&amp;urlhash=1Fdt&amp;trk=organization_guest_main-feed-card_feed-article-content">
<section>
<header>
<h3>
 Announcing HelpSteer: An Open-Source Dataset for Building Helpful LLMs | NVIDIA Technical Blog
 </h3>
<h4>
 developer.nvidia.com
 </h4>
</header>
</section>
</a>
</article>
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<article>
<p>Scale is proud to collaborate with <a href="https://www.linkedin.com/company/nvidia?trk=organization_guest_main-feed-card-text">NVIDIA</a> to power the next generation of LLMs for generative AI!  
Our collaboration combines Scale’s high-quality training data and <a href="https://www.linkedin.com/showcase/nvidia-ai/?trk=organization_guest_main-feed-card-text">NVIDIA AI</a> NeMo SteerLM: an LLM alignment technique that allows dynamic steering of models during inference. Developers will be able to create applications for enterprise use cases including:
💡 Education: Customize LLM responses based on the personalized needs and preferences of teachers and students. 
💡 Gaming: Generate more interactive and immersive non-playable character (NPC) experiences.
💡 Retail: Utilize the chat model to power AI chatbots that generate dynamic responses tuned for various groups of users.
To support generative AI advancements, NVIDIA and Scale have open sourced the SteerLM dataset. With 37K expert-evaluated samples, it enables developers to build better language models and continue innovating research.
Together, NVIDIA and Scale are excited by the immense potential of combining the latest advancements in generative AI with expert-curated datasets.
Learn more here -&gt; <a href="https://lnkd.in/gxwui4hM?trk=organization_guest_main-feed-card-text">https://lnkd.in/gxwui4hM</a> </p>
<a href="https://www.linkedin.com/redir/redirect?url=https%3A%2F%2Fscale%2Ecom%2Fblog%2Fnvidia-steerlm&amp;urlhash=xT8q&amp;trk=organization_guest_main-feed-card_feed-article-content">
<section>
<header>
<h3>
 Scale collaborates with NVIDIA to power the next generation of LLMs with NeMo SteerLM
 </h3>
<h4>
 scale.com
 </h4>
</header>
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<p><a href="https://www.linkedin.com/company/fortune?trk=organization_guest_main-feed-card-text">Fortune</a> has named Scale on their inaugural Fortune 50 AI Innovators list! The list recognizes companies at the cutting edge of the AI industry. 
Learn more here → <a href="https://lnkd.in/gF6mhS85?trk=organization_guest_main-feed-card-text">https://lnkd.in/gF6mhS85</a></p>
<a href="https://www.linkedin.com/redir/redirect?url=https%3A%2F%2Ffortune%2Ecom%2Franking%2Fai-innovators%2F2023%2Fscale-ai%2F&amp;urlhash=uIRG&amp;trk=organization_guest_main-feed-card_feed-article-content">
<section>
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<h3>
 Scale AI | Fortune 50 AI Innovators
 </h3>
<h4>
 fortune.com
 </h4>
</header>
</section>
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<p>“Over the course of three days last week, more than 100 AI executives and insiders, venture capitalists and government officials listened to talks about the AI arms race between the US and China, and mulled the impact of Biden’s sweeping executive order on the industry.
For the AI community, the summit served as a chance to talk through uncertainties ahead — around AI regulation, political conflicts and the technology itself.”
Read more about the AI Security Summit from <a href="https://www.linkedin.com/in/rachelmetz?trk=organization_guest_main-feed-card-text">Rachel Metz</a> in <a href="https://www.linkedin.com/company/bloomberg?trk=organization_guest_main-feed-card-text">Bloomberg</a>: <a href="https://lnkd.in/gDnUVEF2?trk=organization_guest_main-feed-card-text">https://lnkd.in/gDnUVEF2</a> </p>
<a href="https://www.linkedin.com/redir/redirect?url=https%3A%2F%2Fwww%2Ebloomberg%2Ecom%2Fnews%2Farticles%2F2023-11-19%2Fchina-chips-and-archery-inside-the-mystery-ai-event-in-the-utah-mountains&amp;urlhash=BWoA&amp;trk=organization_guest_main-feed-card_feed-article-content">
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<h3>
 China, Chips and Archery: Inside a Mystery AI Event in the Utah Mountains
 </h3>
<h4>
 bloomberg.com
 </h4>
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<p>Hosted by Scale CEO <a href="https://www.linkedin.com/in/alexandrwang?trk=organization_guest_main-feed-card-text">Alexandr Wang</a> and entrepreneur and investor, <a href="https://www.linkedin.com/in/natfriedman?trk=organization_guest_main-feed-card-text">Nat Friedman</a>, the AI Security Summit brought together the world’s foremost AI leaders and industry executives to explore the current and future state of generative AI.
Attendees discussed safeguarding AI systems against emerging threats, the AI arms race between the US and China, and what’s on the horizon for the industry.
Special thanks to sponsors <a href="https://www.linkedin.com/company/accel-vc?trk=organization_guest_main-feed-card-text">Accel</a> and <a href="https://www.linkedin.com/company/coreweave?trk=organization_guest_main-feed-card-text">CoreWeave</a>.</p>
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<p>We’re thrilled to share Scale has been named to the Leaders Category in the 2023 <a href="https://www.linkedin.com/company/idc?trk=organization_guest_main-feed-card-text">IDC</a> MarketScape: Worldwide Data Labeling Software 🎉 
Read more here: <a href="https://lnkd.in/gepVvaut?trk=organization_guest_main-feed-card-text">https://lnkd.in/gepVvaut</a> </p>
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<p>🙌 It’s Donovan Feature Friday! 
Donovan’s API enables you to interact with the platform outside of Donovan’s user interface. With APIs to easily upload data and create chat threads, users can seamlessly integrate AI capabilities in existing workflows and tools. 
With the Donovan API, you can:
	👉Query for insights against your dataset using large language models (LLMs)
	👉Upload near real-time data from your your data sources and information systems
	👉Validate which LLMs are provisioned in your organization
	👉Create and update threads, datasets, and workspaces
Test out the Donovan API through a 14-day free trial! Sign-up here: 👇 
<a href="https://lnkd.in/g4ZtxCBH?trk=organization_guest_main-feed-card-text">https://lnkd.in/g4ZtxCBH</a> </p>
</article>
</li>
<li>
<article>
<p>When it comes to increasing the safety and utility of a model, RLHF isn’t just hype! Scale is listed as a sample vendor for RLHF in <a href="https://www.linkedin.com/company/gartner?trk=organization_guest_main-feed-card-text">Gartner</a>’s inaugural Hype Cycle for Generative AI report. We strongly believe RLHF is an essential technique to build trustworthy models that keep pace with evolving human preferences.
Understand the drivers behind RLHF as well as the obstacles and recommendations to overcome them. 
Read the full report here: <a href="https://lnkd.in/gy9KqamM?trk=organization_guest_main-feed-card-text">https://lnkd.in/gy9KqamM</a> </p>
<a href="https://www.linkedin.com/redir/redirect?url=https%3A%2F%2Fscale%2Ecom%2Fgartner-genai-hype-cycle%3Futm_source%3Dlinkedin%26utm_medium%3Dorganic-social%26utm_campaign%3Dgartner-genai-hype-cycle&amp;urlhash=IKwr&amp;trk=organization_guest_main-feed-card_feed-article-content">
<section>
<header>
<h3>
 Gartner AI HypeCycle for Generative AI, 2023 | Scale AI
 </h3>
<h4>
 scale.com
 </h4>
</header>
</section>
</a>
</article>
</li>
</ul>
<section>
<h2>
 Join now to see what you are missing
 </h2>
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<p>
 
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<a href="https://www.linkedin.com/jobs/product-manager-jobs?trk=organization_guest-browse_jobs">
<div>
<h3>
 
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<p>
 
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<div>
<h3>
 
 Head jobs
 
 </h3>
<p>
 
 1,135,865 open jobs
 
 </p>
</div>
</a>
</li>
</ul>
</div>
</section>
<section>
<h2>
 Funding
 </h2>
</section>
</section>
</div></div>||||I||||Skip to main content
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 Scale AI

 Software Development

 San Francisco, California 105,071 followers

 The Data Platform for AI: High quality training and validation data for AI applications.

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 At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment. Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea.

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 Industry Software Development
 Company size 501-1,000 employees
 Headquarters San Francisco, California
 Type Privately Held
 Founded 2016
 Specialties Computer Vision, Data Annotation, Sensor Fusion, Machine Learning, Autonomous Driving, APIs, Ground Truth Data, Training Data, Deep Learning, Robotics, Drones, NLP, and Document Processing

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 * Scale AI

 105,071 followers

 2d
 + Report this post

 Happy December! It’s Donovan Feature Friday! 🌟 Like any large organization, the DoD and IC have their own language. Donovan helps you learn and incorporate it. Donovan empowers users with responses tailored to the unique language of the DoD and IC. By incorporating canonical documents, Donovan can recognize DoD and IC specific acronyms and terms to provide users with optimal responses. Try it out yourself! Sign up for a free trial here 👉 https://lnkd.in/g4ZtxCBH

 56
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 * Scale AI

 105,071 followers

 3d Edited
 + Report this post

 Optimizing LLM applications is not a linear process. You must first diagnose the problem your model is having and then apply the correct series of techniques to optimize it. The typical approach is to start with prompt engineering, move on to retrieval-augmented generation, and finish with fine-tuning. But this fails to account for the actual problem your model may have. Without diagnosing what needs to be optimized, following this linear approach won’t fix your application. Instead, Colin Jarvis from OpenAI advises to approach optimization from the lens of how the model needs to act vs what the model needs to know. 👉 Step 1: Start with prompt engineering. Begin with a simple prompt, add context and iterate to see if your prompt is successful at all. 👉 Step 2: Add some few-shot examples and if that increases the performance of your prompts, your model needs additional context. Use retrieval-augmented generation. 👉 Step 3: If the problem is not the lack of context, but something like your model is creating syntactically incorrect sql queries with the context that it's getting, use fine-tuning. These techniques are NOT mutually exclusive and often work best in tandem. Colin gives an example approach to optimizing an LLM application in the full tech talk. Watch here → https://lnkd.in/g3fqUkNf

 92 2 Comments
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 * Scale AI reposted this

 NVIDIA AI

 601,289 followers

 6d
 + Report this post

 Scale AI has collaborated with NVIDIA to build HelpSteer, an open-source dataset for building helpful LLMs with NVIDIA NeMo SteerLM. With HelpSteer, developers can now guide #LLM responses on additional attributes like complexity and verbosity and enhance the overall controllability of the LLM responses during inference with just one customization run. Learn more about the dataset from our announcement blog: https://nvda.ws/3T5K9lT

 Announcing HelpSteer: An Open-Source Dataset for Building Helpful LLMs | NVIDIA Technical Blog

 developer.nvidia.com

 320 4 Comments
 Like Comment Share
 * Scale AI

 105,071 followers

 6d
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 Scale is proud to collaborate with NVIDIA to power the next generation of LLMs for generative AI! Our collaboration combines Scale’s high-quality training data and NVIDIA AI NeMo SteerLM: an LLM alignment technique that allows dynamic steering of models during inference. Developers will be able to create applications for enterprise use cases including: 💡 Education: Customize LLM responses based on the personalized needs and preferences of teachers and students. 💡 Gaming: Generate more interactive and immersive non-playable character (NPC) experiences. 💡 Retail: Utilize the chat model to power AI chatbots that generate dynamic responses tuned for various groups of users. To support generative AI advancements, NVIDIA and Scale have open sourced the SteerLM dataset. With 37K expert-evaluated samples, it enables developers to build better language models and continue innovating research. Together, NVIDIA and Scale are excited by the immense potential of combining the latest advancements in generative AI with expert-curated datasets. Learn more here -> https://lnkd.in/gxwui4hM

 Scale collaborates with NVIDIA to power the next generation of LLMs with NeMo SteerLM

 scale.com

 296 1 Comment
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 * Scale AI

 105,071 followers

 1w
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 Fortune has named Scale on their inaugural Fortune 50 AI Innovators list! The list recognizes companies at the cutting edge of the AI industry. Learn more here → https://lnkd.in/gF6mhS85

 Scale AI | Fortune 50 AI Innovators

 fortune.com

 193
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 * Scale AI

 105,071 followers

 1w
 + Report this post

 “Over the course of three days last week, more than 100 AI executives and insiders, venture capitalists and government officials listened to talks about the AI arms race between the US and China, and mulled the impact of Biden’s sweeping executive order on the industry. For the AI community, the summit served as a chance to talk through uncertainties ahead — around AI regulation, political conflicts and the technology itself.” Read more about the AI Security Summit from Rachel Metz in Bloomberg: https://lnkd.in/gDnUVEF2

 China, Chips and Archery: Inside a Mystery AI Event in the Utah Mountains

 bloomberg.com

 56 1 Comment
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 * Scale AI

 105,071 followers

 1w
 + Report this post

 Hosted by Scale CEO Alexandr Wang and entrepreneur and investor, Nat Friedman, the AI Security Summit brought together the world’s foremost AI leaders and industry executives to explore the current and future state of generative AI. Attendees discussed safeguarding AI systems against emerging threats, the AI arms race between the US and China, and what’s on the horizon for the industry. Special thanks to sponsors Accel and CoreWeave.

 + 
 + 
 + 
 + 
 + +1
 121 6 Comments
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 * Scale AI

 105,071 followers

 2w
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 We’re thrilled to share Scale has been named to the Leaders Category in the 2023 IDC MarketScape: Worldwide Data Labeling Software 🎉 Read more here: https://lnkd.in/gepVvaut

 + 
 48
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 * Scale AI

 105,071 followers

 2w
 + Report this post

 🙌 It’s Donovan Feature Friday! Donovan’s API enables you to interact with the platform outside of Donovan’s user interface. With APIs to easily upload data and create chat threads, users can seamlessly integrate AI capabilities in existing workflows and tools. With the Donovan API, you can: 👉Query for insights against your dataset using large language models (LLMs) 👉Upload near real-time data from your your data sources and information systems 👉Validate which LLMs are provisioned in your organization 👉Create and update threads, datasets, and workspaces Test out the Donovan API through a 14-day free trial! Sign-up here: 👇 https://lnkd.in/g4ZtxCBH

 75
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 * Scale AI

 105,071 followers

 2w
 + Report this post

 When it comes to increasing the safety and utility of a model, RLHF isn’t just hype! Scale is listed as a sample vendor for RLHF in Gartner’s inaugural Hype Cycle for Generative AI report. We strongly believe RLHF is an essential technique to build trustworthy models that keep pace with evolving human preferences. Understand the drivers behind RLHF as well as the obstacles and recommendations to overcome them. Read the full report here: https://lnkd.in/gy9KqamM

 Gartner AI HypeCycle for Generative AI, 2023 | Scale AI

 scale.com

 68 1 Comment
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Software Development
 
 
 San Francisco, California 105,071 followers
 
 
 About us
 
At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. 
The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.
Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea. 
 Industry
 
 
 Software Development
 
 
 Company size
 
 
 
 
 
 
 
 
 
 
 
 
 501-1,000 employees
 
 
 
 Headquarters
 
 
 San Francisco, California
 
 
 Type
 
 
 Privately Held
 
 
 Founded
 
 
 2016
 
 
 Specialties
 
 
 Computer Vision, Data Annotation, Sensor Fusion, Machine Learning, Autonomous Driving, APIs, Ground Truth Data, Training Data, Deep Learning, Robotics, Drones, NLP, and Document Processing
 
 
 Locations
 
 Employees at Scale AI
 
 Updates
 
Happy December! It’s Donovan Feature Friday! 🌟
Like any large organization, the DoD and IC have their own language. Donovan helps you learn and incorporate it.
Donovan empowers users with responses tailored to the unique language of the DoD and IC. By incorporating canonical documents, Donovan can recognize DoD and IC specific acronyms and terms to provide users with optimal responses.
Try it out yourself! Sign up for a free trial here 👉 https://lnkd.in/g4ZtxCBH    
 105,071 followers
 
 
Optimizing LLM applications is not a linear process. You must first diagnose the problem your model is having and then apply the correct series of techniques to optimize it. 
The typical approach is to start with prompt engineering, move on to retrieval-augmented generation, and finish with fine-tuning. 
But this fails to account for the actual problem your model may have. Without diagnosing what needs to be optimized, following this linear approach won’t fix your application. 
Instead, Colin Jarvis from OpenAI advises to approach optimization from the lens of how the model needs to act vs what the model needs to know.
👉 Step 1: Start with prompt engineering. Begin with a simple prompt, add context and iterate to see if your prompt is successful at all.
👉 Step 2: Add some few-shot examples and if that increases the performance of your prompts, your model needs additional context. Use retrieval-augmented generation.
👉 Step 3: If the problem is not the lack of context, but something like your model is creating syntactically incorrect sql queries with the context that it's getting, use fine-tuning.  
These techniques are NOT mutually exclusive and often work best in tandem. 
Colin gives an example approach to optimizing an LLM application in the full tech talk. Watch here → https://lnkd.in/g3fqUkNf 
Scale AI reposted this
 
 Scale AI has collaborated with NVIDIA to build HelpSteer, an open-source dataset for building helpful LLMs with NVIDIA NeMo SteerLM.
With HelpSteer, developers can now guide #LLM responses on additional attributes like complexity and verbosity and enhance the overall controllability of the LLM responses during inference with just one customization run.
Learn more about the dataset from our announcement blog: https://nvda.ws/3T5K9lT 
 Announcing HelpSteer: An Open-Source Dataset for Building Helpful LLMs | NVIDIA Technical Blog
 
 developer.nvidia.com
 
Scale is proud to collaborate with NVIDIA to power the next generation of LLMs for generative AI!  
Our collaboration combines Scale’s high-quality training data and NVIDIA AI NeMo SteerLM: an LLM alignment technique that allows dynamic steering of models during inference. Developers will be able to create applications for enterprise use cases including:
💡 Education: Customize LLM responses based on the personalized needs and preferences of teachers and students. 
💡 Gaming: Generate more interactive and immersive non-playable character (NPC) experiences.
💡 Retail: Utilize the chat model to power AI chatbots that generate dynamic responses tuned for various groups of users.
To support generative AI advancements, NVIDIA and Scale have open sourced the SteerLM dataset. With 37K expert-evaluated samples, it enables developers to build better language models and continue innovating research.
Together, NVIDIA and Scale are excited by the immense potential of combining the latest advancements in generative AI with expert-curated datasets.
Learn more here -&gt; https://lnkd.in/gxwui4hM 
 Scale collaborates with NVIDIA to power the next generation of LLMs with NeMo SteerLM
 
 scale.com
 
 Fortune has named Scale on their inaugural Fortune 50 AI Innovators list! The list recognizes companies at the cutting edge of the AI industry. 
Learn more here → https://lnkd.in/gF6mhS85 
 Scale AI | Fortune 50 AI Innovators
 
 fortune.com
 
“Over the course of three days last week, more than 100 AI executives and insiders, venture capitalists and government officials listened to talks about the AI arms race between the US and China, and mulled the impact of Biden’s sweeping executive order on the industry.
For the AI community, the summit served as a chance to talk through uncertainties ahead — around AI regulation, political conflicts and the technology itself.”
Read more about the AI Security Summit from Rachel Metz in Bloomberg: https://lnkd.in/gDnUVEF2 
 China, Chips and Archery: Inside a Mystery AI Event in the Utah Mountains
 
 bloomberg.com
 
Hosted by Scale CEO Alexandr Wang and entrepreneur and investor, Nat Friedman, the AI Security Summit brought together the world’s foremost AI leaders and industry executives to explore the current and future state of generative AI.
Attendees discussed safeguarding AI systems against emerging threats, the AI arms race between the US and China, and what’s on the horizon for the industry.
Special thanks to sponsors Accel and CoreWeave.
 +1
 
We’re thrilled to share Scale has been named to the Leaders Category in the 2023 IDC MarketScape: Worldwide Data Labeling Software 🎉 
Read more here: https://lnkd.in/gepVvaut 
🙌 It’s Donovan Feature Friday! 
Donovan’s API enables you to interact with the platform outside of Donovan’s user interface. With APIs to easily upload data and create chat threads, users can seamlessly integrate AI capabilities in existing workflows and tools. 
With the Donovan API, you can:
	👉Query for insights against your dataset using large language models (LLMs)
	👉Upload near real-time data from your your data sources and information systems
	👉Validate which LLMs are provisioned in your organization
	👉Create and update threads, datasets, and workspaces
Test out the Donovan API through a 14-day free trial! Sign-up here: 👇 
https://lnkd.in/g4ZtxCBH 
When it comes to increasing the safety and utility of a model, RLHF isn’t just hype! Scale is listed as a sample vendor for RLHF in Gartner’s inaugural Hype Cycle for Generative AI report. We strongly believe RLHF is an essential technique to build trustworthy models that keep pace with evolving human preferences.
Understand the drivers behind RLHF as well as the obstacles and recommendations to overcome them. 
Read the full report here: https://lnkd.in/gy9KqamM 
 Gartner AI HypeCycle for Generative AI, 2023 | Scale AI
 
 scale.com
 
 Join now to see what you are missing
 
 Join now
 
 Similar pages
 
 Browse jobs
 
 
 Scale AI jobs
 
 
 
 45,528 open jobs
 
 
 
 Analyst jobs
 
 
 
 760,055 open jobs
 
 
 
 Engineer jobs
 
 
 
 608,159 open jobs
 
 
 
 Manager jobs
 
 
 
 2,003,890 open jobs
 
 
 
 Director jobs
 
 
 
 1,374,979 open jobs
 
 
 
 Intern jobs
 
 
 
 48,214 open jobs
 
 
 
 Associate jobs
 
 
 
 1,094,512 open jobs
 
 
 
 Scientist jobs
 
 
 
 59,545 open jobs
 
 
 
 Developer jobs
 
 
 
 344,797 open jobs
 
 
 
 Account Executive jobs
 
 
 
 87,726 open jobs
 
 
 
 Executive jobs
 
 
 
 700,389 open jobs
 
 
 
 Solutions Engineer jobs
 
 
 
 113,709 open jobs
 
 
 
 Vice President jobs
 
 
 
 243,153 open jobs
 
 
 
 Project Manager jobs
 
 
 
 312,603 open jobs
 
 
 
 Software Engineer jobs
 
 
 
 469,843 open jobs
 
 
 
 Marketing Manager jobs
 
 
 
 145,613 open jobs
 
 
 
 Machine Learning Engineer jobs
 
 
 
 183,664 open jobs
 
 
 
 Associate Product Manager jobs
 
 
 
 117,842 open jobs
 
 
 
 Product Manager jobs
 
 
 
 258,695 open jobs
 
 
 
 Head jobs
 
 
 
 1,135,865 open jobs
 
 
 Funding
Scale AI | LinkedIn
https://www.linkedin.com/company/scaleai
https://twitter.com/scale_AI?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor

Tue Jul 12 03:53:27 +0000 2016
scale_AI?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor
<div>Our mission is to accelerate the development of AI. We believe that to make the best models, you need the best data.| profile_url: http://www.scale.com | name: Scale AI | created_at: Tue Jul 12 03:53:27 +0000 2016 | favourites_count: 1298 | followers_count: 42607 | friends_count: 488 | media_count: 369 | possibly_sensitive: False | verified: False | statuses_count: 1685 | location: San Francisco, CA </div><div>Scale is proud to be @OpenAI’s preferred fine-tuning partner for GPT-3.5, providing fine-tuning to the world’s leading enterprises! 🧵 https://t.co/xPOnouVWon| created_at: Thu Aug 24 15:57:52 +0000 2023 | favorite_count: 197 | quote_count: 2 | reply_count: 20 | retweet_count: 33 | is_quote_status: False | retweeted: False | lang: en </div><div>Today at TransformX, we announced a huge step forward for the open source ML community: we are partnering with @StabilityAI to release the first large language model trained with human feedback. https://t.co/kRR0MUhSQ1 1/4| created_at: Thu Oct 20 00:24:59 +0000 2022 | favorite_count: 493 | quote_count: 10 | reply_count: 5 | retweet_count: 79 | is_quote_status: False | retweeted: False | lang: en </div><div>🎉 Today, we are pleased to announce our Series E round of funding of $325 million at a valuation of $7B+! 🎉
https://t.co/cO2HCSpFTe| created_at: Tue Apr 13 17:13:26 +0000 2021 | favorite_count: 374 | quote_count: 20 | reply_count: 9 | retweet_count: 42 | is_quote_status: False | retweeted: False | lang: en </div><div>📣Announcing the latest speakers joining our first-ever conference, Transform! 📣 Our blockbuster lineup now includes @soumithchintala, co-creator of @Pytorch, @drfeifei, Prof of CS @Stanford, @AndrewYNg, Founder of @DeepLearningAI_, @kevin_scott, CTO of @Microsoft! 🤩 https://t.co/4oif4DGMX3| created_at: Mon Feb 01 18:17:09 +0000 2021 | favorite_count: 280 | quote_count: 7 | reply_count: 6 | retweet_count: 41 | is_quote_status: False | retweeted: False | lang: en </div><div>We’re proud of what we’ve built over the last three years. Today we’re pleased to announce our $100M Series C fundraise led by @FoundersFund, with participation from @Accel, @IndexVentures, @sparkcapital, @ThriveCapital, @kevin, @mikeyk and @adamdangelo. https://t.co/W4zgbZmd34| created_at: Mon Aug 05 16:02:24 +0000 2019 | favorite_count: 193 | quote_count: 11 | reply_count: 10 | retweet_count: 37 | is_quote_status: False | retweeted: False | lang: en </div><div>ChatGPT and other large language models have taken the world by storm. These models are trained and tuned using Reinforcement Learning with Human Feedback (RLHF).
But what is #RLHF and how does it work? Here’s our guide:| created_at: Mon Apr 03 18:04:46 +0000 2023 | favorite_count: 160 | quote_count: 1 | reply_count: 7 | retweet_count: 45 | is_quote_status: False | retweeted: False | lang: en </div><div>📣 Join TransformX on October 6-7th - The world's leading AI virtual conference! 
🎙 Learn from 100+ expert speakers
🌎 Network with 20,000+ attendees
🔥 60+ keynotes, fireside chats, &amp; expert panels
Registration is now open. https://t.co/pmOnNvhxWT
#transformX21 https://t.co/53pW9ziSI6| created_at: Thu Jul 29 18:24:28 +0000 2021 | favorite_count: 142 | quote_count: 1 | reply_count: 2 | retweet_count: 27 | is_quote_status: False | retweeted: False | lang: en </div><div>Announcing TransformX: Our 2-day virtual conference, bringing together the world's top experts on #AI &amp; Machine Learning. #TransformX21 https://t.co/iFBLafAImo| created_at: Wed Jun 30 23:57:07 +0000 2021 | favorite_count: 125 | quote_count: 1 | reply_count: 7 | retweet_count: 35 | is_quote_status: False | retweeted: False | lang: en </div><div>Increasing the Performance of Dynamic Next.JS Websites by @guidomaliandi
https://t.co/aG1Ej49W8k https://t.co/pRDIZ1SmKm| created_at: Wed Dec 06 20:13:14 +0000 2017 | favorite_count: 127 | quote_count: 1 | reply_count: 2 | retweet_count: 36 | is_quote_status: False | retweeted: False | lang: en </div><div>📊Webinar: Meet Donovan: The AI Digital Staff Officer for National Defense
👉Secure your spot here: https://t.co/zvem7JAdmK
Gen AI is critical for the future of national defense, but how do you implement it safely and securely? 
Meet Donovan, the AI Digital Staff Officer for… https://t.co/r683V9c0c6| created_at: Wed Mar 27 00:17:27 +0000 2024 | favorite_count: 116 | quote_count: 6 | reply_count: 24 | retweet_count: 20 | is_quote_status: False | retweeted: False | lang: en </div><div>Our #generativeai hackathon is underway! We've gathered hundreds of talented engineers for a day of innovation and teamwork. With an espresso bar, live screen printing, and puppy cuddling, we're confident this hackathon will be the best one yet! https://t.co/coOTsFl8vV| created_at: Sat Jul 15 19:55:08 +0000 2023 | favorite_count: 102 | quote_count: 7 | reply_count: 4 | retweet_count: 12 | is_quote_status: False | retweeted: False | lang: en </div><div>Prompt engineering is the magic behind top-notch language model responses! 🪄
Join us on March 9th, for an in-depth webinar with @scale_AI Staff Prompt Engineer, @goodside, on the history and techniques of today's most innovative prompting strategies.
https://t.co/RfZN3LrwhZ| created_at: Thu Feb 09 15:29:46 +0000 2023 | favorite_count: 97 | quote_count: 2 | reply_count: 6 | retweet_count: 12 | is_quote_status: False | retweeted: False | lang: en </div><div>We're thrilled to share that @AndrewYNg, Founder of https://t.co/rULFYixN62 and Founder &amp; CEO of @landingAI, will be joining TransformX as a keynote speaker.
🎟 Registration is free and will give you access to all recordings: https://t.co/4RnSXxcNt9
#transformX21 #ai https://t.co/VuCmURtdiS| created_at: Wed Aug 18 20:43:19 +0000 2021 | favorite_count: 84 | quote_count: 0 | reply_count: 5 | retweet_count: 17 | is_quote_status: False | retweeted: False | lang: en </div><div>You've heard of #ChatGPT, but have you heard of Claude?
See how @AnthropicAI's new AI assistant stacks up against @OpenAI's new flagship product in our latest blog by @goodside and @spencerpapay!
https://t.co/syrPzlVIxl| created_at: Tue Jan 24 16:26:47 +0000 2023 | favorite_count: 94 | quote_count: 2 | reply_count: 3 | retweet_count: 23 | is_quote_status: False | retweeted: False | lang: en </div><div>“We’re the picks and shovels in the generative AI gold rush” - @alexandr_wang 
@btaylor likens Scale’s rise to that of cloud computing darlings Snowflake and Datadog. @jeffawilke says Scale could become the Amazon Web Services of AI.
Learn more: https://t.co/gYkCFx09vV https://t.co/Ft8O85Cl9w| created_at: Wed Apr 12 16:39:18 +0000 2023 | favorite_count: 90 | quote_count: 3 | reply_count: 3 | retweet_count: 10 | is_quote_status: False | retweeted: False | lang: en </div><div>We are proud to partner with the U.S. government to deliver transformative, next-generation large language models (LLMs) purpose-built for intelligence and operations. Learn more → https://t.co/1mbQPAXdRu https://t.co/Aj9kgo9eAy| created_at: Tue Feb 14 15:42:13 +0000 2023 | favorite_count: 83 | quote_count: 6 | reply_count: 7 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en </div><div>At Scale, we believe in using AI in support of democratic values. That’s why we are providing AI-ready datasets developers can use to rapidly train and deploy AI in support of Ukrainian and @NATO operations. Learn more and access the data here: https://t.co/5oAfaNDNTE| created_at: Fri Feb 25 01:53:02 +0000 2022 | favorite_count: 79 | quote_count: 4 | reply_count: 1 | retweet_count: 35 | is_quote_status: False | retweeted: False | lang: en </div><div>Scale is excited to launch our Automotive Foundation Model, AFM-1: a state-of-the-art, language-grounded, perception model to accelerate the development of autonomous vehicles! 🧵
https://t.co/NEdKGtrfbM https://t.co/TCS1Od1CiT| created_at: Tue Dec 05 19:31:49 +0000 2023 | favorite_count: 83 | quote_count: 4 | reply_count: 3 | retweet_count: 13 | is_quote_status: False | retweeted: False | lang: en </div><div>Calling all AI builders! 🦾Our newest LLM platform, Scale Spellbook, is now open for general availability. Build, compare, evaluate, and deploy large language model apps in minutes at https://t.co/U2hGk5NKY7| created_at: Mon Mar 27 16:14:29 +0000 2023 | favorite_count: 82 | quote_count: 2 | reply_count: 9 | retweet_count: 6 | is_quote_status: False | retweeted: False | lang: en </div><div>🎧 TFX Replay: Democratizing AI &amp; Stable Diffusion with @StabilityAI Founder &amp; CEO @EMostaque 
→ Watch the full talk and more unforgettable TransformX sessions.👇
https://t.co/01hlNOB8Mb
#stablediffusion #artificialintelligence #machinelearning https://t.co/Ftm6adGzyK| created_at: Mon Oct 31 21:49:14 +0000 2022 | favorite_count: 80 | quote_count: 1 | reply_count: 0 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en </div><div>@guidomaliandi We published a &lt;Link&gt; that allows prefetching data with Next.JS:
https://t.co/J36JWiNKgF https://t.co/n5bZZWpWzC| created_at: Thu Jan 04 21:53:45 +0000 2018 | favorite_count: 77 | quote_count: 4 | reply_count: 2 | retweet_count: 14 | is_quote_status: False | retweeted: False | lang: en </div><div>Introducing Scale's New Dashboard!
https://t.co/JttzF4d1gL https://t.co/OqD1YMRf94| created_at: Tue Dec 12 20:29:40 +0000 2017 | favorite_count: 73 | quote_count: 2 | reply_count: 2 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en </div><div>📢 We’re excited to announce the first round of 20+ speakers for TransformX 2022. 
Join us in October to hear from the world's leading AI visionaries from companies like @opensea, @OpenAI, @Stellantis and many more! 
🎟️Save Your Spot: https://t.co/DCYyo46Skp https://t.co/ZchcB4iWaC| created_at: Thu Jul 21 18:49:46 +0000 2022 | favorite_count: 71 | quote_count: 1 | reply_count: 4 | retweet_count: 19 | is_quote_status: False | retweeted: False | lang: en </div><div>Today we’re proud to introduce our two new Generative AI platforms – Scale Donovan and Scale EGP – to unlock the power of AI for every industry, from the U.S. government to the Fortune 500. 🧵| created_at: Wed May 10 16:11:20 +0000 2023 | favorite_count: 69 | quote_count: 2 | reply_count: 10 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en </div><div>https://t.co/CteeZ3wAz1 is live https://t.co/Ojui5g7YLQ| created_at: Mon Feb 13 13:07:13 +0000 2017 | favorite_count: 73 | quote_count: 3 | reply_count: 3 | retweet_count: 19 | is_quote_status: False | retweeted: False | lang: en </div><div>🎬 That’s a wrap for #TransformX 2022! 
 
From navigating an AI-enabled future to putting people on Mars with ML, we hope you enjoyed hearing from top industry minds shaping the future of AI. 🫶🤖 https://t.co/IHZusESBf5| created_at: Fri Oct 21 23:18:27 +0000 2022 | favorite_count: 67 | quote_count: 2 | reply_count: 21 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en </div><div>To help the efforts of COVID-19 research, Scale AI will provide free data annotation services for any researcher working on diagnosing, containing, tracking or finding a vaccine or long-term cure. https://t.co/PGbcdONVSe| created_at: Tue Mar 17 20:09:00 +0000 2020 | favorite_count: 65 | quote_count: 2 | reply_count: 4 | retweet_count: 16 | is_quote_status: False | retweeted: False | lang: en </div><div>Guest author @tszzl explains how large language models are starting to look like a new backbone of computing, revitalizing UNIX paradigms, and enabling human readable text as the Universal Computing Interface. Read on → https://t.co/yfmZVzrWjy| created_at: Fri Sep 09 18:28:44 +0000 2022 | favorite_count: 60 | quote_count: 1 | reply_count: 2 | retweet_count: 7 | is_quote_status: False | retweeted: False | lang: en </div><div>Today, we are pleased to announce our $155M Series D fundraise led by Tiger Global at a valuation north of $3.5B. Our CEO @alexandr_wang sat down with @jordannovet to discuss Scale to-date and our future vision: https://t.co/Nik0k1wfXy| created_at: Tue Dec 01 15:48:21 +0000 2020 | favorite_count: 59 | quote_count: 6 | reply_count: 2 | retweet_count: 19 | is_quote_status: False | retweeted: False | lang: en </div><div>Our CEO @alexandr_wang recently spoke at @TEDTalks
on the future of artificial intelligence and warfare. Learn why data will be the ammunition in the AI war and what technologists need to do today 👇
https://t.co/67jXyqylPf| created_at: Mon Jul 10 19:14:04 +0000 2023 | favorite_count: 57 | quote_count: 3 | reply_count: 7 | retweet_count: 13 | is_quote_status: False | retweeted: False | lang: en </div><div>We’re proud to introduce Scale Nucleus: our new product to help ML teams build better ML by understanding their data in-depth, debugging model performance, and sharing datasets across teams. 
https://t.co/RJriyehJgP https://t.co/A3nsZVPL9G| created_at: Wed Aug 05 16:13:11 +0000 2020 | favorite_count: 57 | quote_count: 6 | reply_count: 2 | retweet_count: 15 | is_quote_status: False | retweeted: False | lang: en </div><div>🎥 Watch live as Dr. @AndrewYNg, Founder of @DeepLearningAI_ and Founder and CEO of @landingAI shares real-world examples to show how a data-centric AI development approach helps improve the performance of machine learning models.
🎟 Register and watch: https://t.co/LJizsKzaGr https://t.co/M83F9pwlTW| created_at: Wed Oct 06 17:55:09 +0000 2021 | favorite_count: 56 | quote_count: 1 | reply_count: 1 | retweet_count: 13 | is_quote_status: False | retweeted: False | lang: en </div><div>"We appreciate that speed and execution are critical to our success. Our partnership with Scale AI, announced today, will allow us to accelerate our ability to deliver the new Chegg experience." - @Chegg CEO @DanRosensweig 
https://t.co/KWX6mjqLGJ https://t.co/t71Yk59WX1| created_at: Mon Aug 07 21:03:25 +0000 2023 | favorite_count: 54 | quote_count: 2 | reply_count: 4 | retweet_count: 12 | is_quote_status: False | retweeted: False | lang: en </div><div>We’re excited to see @cohere launching Command-R today! 
Enterprises can test and evaluate Cohere’s models on Scale GenAI Platform, incorporate these models into their RAG pipelines, and use these models to build custom GenAI apps built on their own data 💪| created_at: Mon Mar 11 23:39:45 +0000 2024 | favorite_count: 55 | quote_count: 0 | reply_count: 0 | retweet_count: 14 | is_quote_status: True | retweeted: False | lang: en </div><div>Ready. Set. Transform! ✨We're LIVE! Join 8,000 AI/ML professionals for 19 sessions and plenty of networking opportunities. https://t.co/ygVRKhEbZf| created_at: Fri Mar 26 15:05:33 +0000 2021 | favorite_count: 54 | quote_count: 5 | reply_count: 1 | retweet_count: 19 | is_quote_status: False | retweeted: False | lang: en </div><div>We're thrilled to announce our partnership with @Accenture to build a one-of-a-kind AI Center of Excellence - an important step forward in advancing Generative AI &amp; unlocking its full potential for all industries. 
Learn more about our partnership: 
https://t.co/pjNYfaAVDq| created_at: Fri Mar 31 13:56:17 +0000 2023 | favorite_count: 51 | quote_count: 3 | reply_count: 3 | retweet_count: 12 | is_quote_status: False | retweeted: False | lang: en </div><div>"AI is China’s Apollo project. To lead the world in the development of AI, we must lead the world in the amount of high quality data powering AI." - @alexandr_wang testifying before the House Armed Services Committee 
Watch live: https://t.co/yevpCLR0MB https://t.co/gVNaH6AXxR| created_at: Tue Jul 18 13:16:40 +0000 2023 | favorite_count: 55 | quote_count: 1 | reply_count: 0 | retweet_count: 11 | is_quote_status: False | retweeted: False | lang: en </div><div>Our CEO, @alexandr_wang spoke with @julie188
of @businessinsider about how he built Scale AI into a $1B company. https://t.co/OExUTq40q2| created_at: Mon Aug 24 16:44:03 +0000 2020 | favorite_count: 53 | quote_count: 2 | reply_count: 2 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en </div><div>We’re excited to announce @BradPorter_ as our first CTO! As a senior AI leader who has deployed real-world ML systems at production scale, Brad’s leadership will allow us to accelerate our ambitious roadmap. 🚀
https://t.co/MO3xZcKocy| created_at: Mon Aug 31 16:18:22 +0000 2020 | favorite_count: 51 | quote_count: 4 | reply_count: 2 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en </div><div>“Every industry is sitting on huge amounts of data. Our goal is to help them unlock the potential of data and supercharge their businesses with AI.”
Our CEO @alexandr_wang sat down with @Forbes to discuss the evolution of Scale and the impact of AI today. https://t.co/vYbJ2z4RN9| created_at: Mon Jun 13 23:28:34 +0000 2022 | favorite_count: 49 | quote_count: 1 | reply_count: 3 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en </div><div>Announcing Scale Forge! Create AI-Generated product imagery in seconds. ✨Available in Early Access: https://t.co/qe4J5mbGFl https://t.co/Pj7AAUMnZh| created_at: Thu Nov 10 16:11:09 +0000 2022 | favorite_count: 50 | quote_count: 0 | reply_count: 2 | retweet_count: 11 | is_quote_status: False | retweeted: False | lang: en </div><div>The machine learning team at Scale AI regularly hosts reading groups to discuss research papers they find interesting. Take a look at the papers the team read this past quarter: https://t.co/hqYuocKS1e| created_at: Mon Apr 06 18:03:29 +0000 2020 | favorite_count: 50 | quote_count: 1 | reply_count: 0 | retweet_count: 14 | is_quote_status: False | retweeted: False | lang: en </div><div>We collaborated with @nuTonomy to release the largest open source self-driving dataset ever, including LIDAR, RADAR, camera, IMU, and GPS
https://t.co/X5YHHpwgEa| created_at: Fri Sep 14 19:29:03 +0000 2018 | favorite_count: 47 | quote_count: 1 | reply_count: 3 | retweet_count: 25 | is_quote_status: False | retweeted: False | lang: en </div><div>Our CEO @alexandr_wang spoke at @MilkenInstitute alongside @eladgil @aplusk @nicolamen @JBoorstin on making AI a reality for every industry - from enterprise to government. Watch the full #MIGlobal panel: https://t.co/tBky3ePNSd https://t.co/v9eTl2Sczw| created_at: Tue May 02 01:38:25 +0000 2023 | favorite_count: 45 | quote_count: 0 | reply_count: 1 | retweet_count: 10 | is_quote_status: False | retweeted: False | lang: en </div><div>We’re excited to see @cohere launching Command R+ today!
Enterprises can test and evaluate Cohere’s models on Scale GenAI Platform, incorporate these models into their RAG pipelines, and use these models to build custom GenAI apps built on their own data 💪| created_at: Thu Apr 04 16:14:53 +0000 2024 | favorite_count: 49 | quote_count: 0 | reply_count: 0 | retweet_count: 6 | is_quote_status: True | retweeted: False | lang: en </div><div>300 engineers. 80 projects. One winner! 🏆
@scale_AI first-ever Generative AI Hackathon was a huge success! Learn more about the cutting-edge projects &amp; the puppy cuddling station (yes, you read that right) in our latest blog! 
https://t.co/S14TZtmV30| created_at: Thu Feb 02 16:47:25 +0000 2023 | favorite_count: 44 | quote_count: 2 | reply_count: 3 | retweet_count: 4 | is_quote_status: False | retweeted: False | lang: en </div><div>We created a Guide to Large Language Models to help you understand what LLMs are, why they are important, and how to use them to improve your business.
🧵on the highlights, including how to use and deploy LLMs.| created_at: Fri Jun 09 15:50:42 +0000 2023 | favorite_count: 45 | quote_count: 1 | reply_count: 2 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en </div><div>"The AI war will define the future of our world. We cannot sit on the sidelines and watch the rise of an authoritarian regime." - @alexandr_wang #TED2023 
Read more from @inafried in @axios: https://t.co/42Z0y0tmak https://t.co/Af1vFHpRgw| created_at: Wed Apr 19 19:47:56 +0000 2023 | favorite_count: 43 | quote_count: 0 | reply_count: 2 | retweet_count: 10 | is_quote_status: False | retweeted: False | lang: en </div><div>Today, Scale hosted a panel in partnership with @jpmorgan at #wef23. Moderated by HRH Princess Beatrice of York, the discussion focused on AI-powered progress across industries, geographies, and governments. https://t.co/vhZbH3MUO9| created_at: Tue Jan 17 20:52:24 +0000 2023 | favorite_count: 41 | quote_count: 0 | reply_count: 1 | retweet_count: 10 | is_quote_status: False | retweeted: False | lang: en </div><div>Is Elon Musk wrong about LiDAR? We compared annotated data from both camera and LiDAR to quantitatively understand LiDAR’s advantages. 
https://t.co/UfGM5VviO3| created_at: Mon Aug 12 17:39:44 +0000 2019 | favorite_count: 41 | quote_count: 3 | reply_count: 4 | retweet_count: 13 | is_quote_status: False | retweeted: False | lang: en </div><div>📣Today, we're launching a major update to the Scale GenAI Platform, the full-stack platform to transform your data into customized enterprise-ready Generative AI applications. Any use case, any model, anywhere 🧵
https://t.co/kMAwSBnWPC| created_at: Tue Feb 13 17:15:34 +0000 2024 | favorite_count: 39 | quote_count: 4 | reply_count: 1 | retweet_count: 11 | is_quote_status: False | retweeted: False | lang: en </div><div>Scale for Autonomous Driving
https://t.co/JxRfx55DWv https://t.co/kNSjWWBcMY| created_at: Thu Jun 29 19:35:56 +0000 2017 | favorite_count: 41 | quote_count: 4 | reply_count: 1 | retweet_count: 13 | is_quote_status: False | retweeted: False | lang: en </div><div>🧵1/8
Learn how you can build capable large-language model agents, assistants, and applications with Scale Spellbook 🪄→ https://t.co/ICn4gIOaeZ https://t.co/zwkMo9jtOb| created_at: Tue Nov 08 20:30:00 +0000 2022 | favorite_count: 40 | quote_count: 0 | reply_count: 2 | retweet_count: 1 | is_quote_status: False | retweeted: False | lang: en </div><div>Exciting news! Scale has raised $18M in Series B funding led by @IndexVentures with @Accel, @ycombinator, @drewhouston and @justinkan participating.
Read more from our CEO, @alexandr_wang
https://t.co/FjDE5Yzn5M| created_at: Tue Aug 07 17:11:40 +0000 2018 | favorite_count: 38 | quote_count: 4 | reply_count: 1 | retweet_count: 7 | is_quote_status: False | retweeted: False | lang: en </div><div>We are excited to announce our partnership with @AnthropicAI to unlock Generative AI for every industry! Secure your data, improve model performance, and validate models against your policies with our enterprise-grade platform. Learn more 👉 https://t.co/pMnqff6Kzd| created_at: Wed Apr 26 22:43:21 +0000 2023 | favorite_count: 39 | quote_count: 0 | reply_count: 0 | retweet_count: 6 | is_quote_status: False | retweeted: False | lang: en </div><div>Transformers––a neural network architecture based on a self-attention mechanism pioneered by @Google took the machine learning world by storm in 2021.
Learn more in this highlights piece from the State of AI 2021 Report with @nathanbenaich. https://t.co/Vx6cjr0X9j| created_at: Thu Jan 06 17:34:21 +0000 2022 | favorite_count: 38 | quote_count: 1 | reply_count: 1 | retweet_count: 8 | is_quote_status: False | retweeted: False | lang: en </div><div>You've seen ChatGPT everywhere...but what makes it so good? 🤔
Read more about ChatGPT, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) in our latest blog by @c_viernickel 
#chatgpt #rlhf
https://t.co/1mS7nlBNwY| created_at: Fri Jan 27 17:38:55 +0000 2023 | favorite_count: 37 | quote_count: 1 | reply_count: 2 | retweet_count: 6 | is_quote_status: False | retweeted: False | lang: en </div><div>Scale’s Staff Prompt Engineer, @goodside joined @kevinroose on the @nytimes' Hard Fork podcast to discuss the future of prompt engineering, red teaming, and why you can’t get a recipe for dangerously spicy mayo from an LLM. 🌶️
Listen here: https://t.co/DJpK1Wv2F4| created_at: Fri Sep 29 16:25:22 +0000 2023 | favorite_count: 33 | quote_count: 0 | reply_count: 2 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en </div><div>Join Scale in San Francisco on April 20 for the highly anticipated all-women Generative AI Hackathon with Title Developer sponsor @github! 🌉👩‍💻
👉 https://t.co/FNfXCVFJsV https://t.co/MUb7TraUxg| created_at: Tue Mar 19 00:29:02 +0000 2024 | favorite_count: 37 | quote_count: 4 | reply_count: 3 | retweet_count: 15 | is_quote_status: False | retweeted: False | lang: en </div><div>How fast can robots learn? 🤖
💡Find out in our next #TransformX session with @pabbeel, Co-Founder of @CovariantAI, where he will discuss paving the path to generalizable robotics. 
🛑LIVE: https://t.co/fJt64b3ePO https://t.co/0fN0Aajxr8| created_at: Thu Oct 20 16:06:30 +0000 2022 | favorite_count: 37 | quote_count: 0 | reply_count: 1 | retweet_count: 7 | is_quote_status: False | retweeted: False | lang: en </div><div>🚗 Rev up your knowledge on self-driving systems!
Join industry experts @goldenkatepark and Ben Levin at @scale_AI's Tech Talk as they unlock the power of data engines for improved system performance. 
Don't miss out, register now!
#av #ai
https://t.co/ukLUwciuZ8| created_at: Tue Apr 18 17:43:41 +0000 2023 | favorite_count: 34 | quote_count: 0 | reply_count: 1 | retweet_count: 6 | is_quote_status: False | retweeted: False | lang: en </div><div>Scale is proud to collaborate with @NVIDIA to power the next generation of LLMs for generative AI! 🧵
https://t.co/fDKf1Qhae6 https://t.co/SzobilORLF| created_at: Mon Nov 27 20:03:17 +0000 2023 | favorite_count: 36 | quote_count: 1 | reply_count: 2 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en </div><div>We’ll release our first trained model with Stability AI soon. If you want to start tinkering with RLHF now, we’re also helping develop TRLX: https://t.co/dzzR1pOv6e — the open source library for reinforcement learning with transformers.| created_at: Thu Oct 20 00:25:00 +0000 2022 | favorite_count: 36 | quote_count: 0 | reply_count: 1 | retweet_count: 8 | is_quote_status: False | retweeted: False | lang: en </div><div>Today, we are pleased to announce our first-ever conference: Scale Transform! https://t.co/rxo57FKXTe| created_at: Tue Jan 19 19:04:52 +0000 2021 | favorite_count: 36 | quote_count: 3 | reply_count: 2 | retweet_count: 11 | is_quote_status: False | retweeted: False | lang: en </div><div>Today we are excited to announce the launch of our Smart Port Lab, where AI-enabled infrastructure will be researched, built, and exported to shipping ports globally. Learn more in the @business exclusive 👉 https://t.co/2arjR1SUsz| created_at: Thu Feb 16 16:32:08 +0000 2023 | favorite_count: 35 | quote_count: 1 | reply_count: 1 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en </div><div>Reinforcement learning with human feedback (RLHF) is what powers the highest performing language models. https://t.co/j5YLpgog91| created_at: Thu Oct 20 00:24:59 +0000 2022 | favorite_count: 33 | quote_count: 0 | reply_count: 2 | retweet_count: 2 | is_quote_status: False | retweeted: False | lang: en </div><div>We are grateful and humbled to be selected as one of @Wealthfront's Career Launching Companies. Come join us to launch your career! 🚀
https://t.co/cPL5KqpliC 
https://t.co/VT9dsaKi8H| created_at: Fri Dec 13 02:16:35 +0000 2019 | favorite_count: 33 | quote_count: 2 | reply_count: 1 | retweet_count: 2 | is_quote_status: False | retweeted: False | lang: en </div><div>🚀Introducing: Scale Document!
Scale Document enables us to support customers with document processing and understanding use cases. 
Take a look: https://t.co/U9osrUBPrk| created_at: Wed Apr 22 15:16:29 +0000 2020 | favorite_count: 33 | quote_count: 4 | reply_count: 0 | retweet_count: 7 | is_quote_status: False | retweeted: False | lang: en </div><div>We integrated a live demo of our Sensor Fusion Visualizer onto our homepage.
https://t.co/hmoa6PFYRs https://t.co/ep1ojS52OC| created_at: Mon Jan 22 20:40:58 +0000 2018 | favorite_count: 33 | quote_count: 3 | reply_count: 1 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en </div><div>Introducing the world’s first dataset for training autonomous vehicles in icy and snowy winter weather in partnership with @UWaterloo and @UofT. Take a look!
https://t.co/uAWyBK2SeC https://t.co/5yWxGrz6wg| created_at: Mon Feb 03 16:54:53 +0000 2020 | favorite_count: 32 | quote_count: 1 | reply_count: 2 | retweet_count: 4 | is_quote_status: False | retweeted: False | lang: en </div><div>Hosted by @Alexandr_Wang and @natfriedman, the AI Security Summit brought together the world’s foremost AI leaders to explore the current and future state of generative AI.
Special thanks to sponsors @Accel and @CoreWeave. https://t.co/COrFszLrCR| created_at: Mon Nov 20 20:11:57 +0000 2023 | favorite_count: 29 | quote_count: 1 | reply_count: 1 | retweet_count: 6 | is_quote_status: False | retweeted: False | lang: en </div><div>Scale’s paper “Detecting and Preventing Hallucinations in Large Vision Language Models” has been accepted for publication in AAAI 2024! 🧵
https://t.co/y9VeltE2q7| created_at: Wed Dec 20 00:17:35 +0000 2023 | favorite_count: 31 | quote_count: 0 | reply_count: 2 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en </div><div>Our CEO @alexandr_wang joins the @Inc Founders Project podcast to share his vision for Scale, how #AI is changing software development, and why he surrounds himself with positive people. https://t.co/X0NThHtq7j https://t.co/8kw5ND4YaZ| created_at: Wed Apr 07 23:14:43 +0000 2021 | favorite_count: 31 | quote_count: 3 | reply_count: 0 | retweet_count: 3 | is_quote_status: False | retweeted: False | lang: en </div><div>The machine learning team at Scale AI regularly meets to discuss research papers they find interesting. Take a look at the papers the team read this past quarter: https://t.co/IbuGBlMC2l| created_at: Wed Oct 07 16:34:35 +0000 2020 | favorite_count: 31 | quote_count: 0 | reply_count: 0 | retweet_count: 12 | is_quote_status: False | retweeted: False | lang: en </div><div>🎙️Closing out #transform21, @drfeifei of @StanfordHAI joins our CEO @alexandr_wang to discuss human-centered AI and the importance of Diversity. 🙌
Last chance to join! 
https://t.co/In9ryHEuGh https://t.co/AHFvOGa06I| created_at: Fri Mar 26 23:18:25 +0000 2021 | favorite_count: 31 | quote_count: 1 | reply_count: 1 | retweet_count: 7 | is_quote_status: False | retweeted: False | lang: en </div><div>Thanks for the recognition, @ycombinator! 🚀| created_at: Tue Feb 28 04:37:02 +0000 2023 | favorite_count: 31 | quote_count: 0 | reply_count: 0 | retweet_count: 1 | is_quote_status: True | retweeted: False | lang: en </div><div>Scale partnered with OpenAI on InstructGPT (https://t.co/3LBTLdHVpQ), and we’re excited to make these techniques available to everyone.| created_at: Thu Oct 20 00:24:59 +0000 2022 | favorite_count: 29 | quote_count: 0 | reply_count: 1 | retweet_count: 4 | is_quote_status: False | retweeted: False | lang: en </div><div>Scale's LLMs for national security are now available on @Tradewind_ai! @DeptofDefense customers can achieve mission objectives even faster with AI purpose-built for intelligence and operations. Deploy today 👉 https://t.co/6nW3o6Cl1T| created_at: Mon Mar 06 23:33:36 +0000 2023 | favorite_count: 29 | quote_count: 4 | reply_count: 2 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en </div><div>We are grateful to @Forbes for the recognition as one of America's Most Promising AI Companies for the second year running! 
https://t.co/2E9WCD9Ymp| created_at: Mon Jul 06 16:42:15 +0000 2020 | favorite_count: 30 | quote_count: 3 | reply_count: 0 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en </div><div>At Scale AI, we use machine learning to empower our data labeling pipeline. In our last blog of 2020, our ML team discusses tricks they discovered to improve @PyTorch transformer implementation with just a few lines of code. Read more: https://t.co/xvamBdE6er| created_at: Thu Dec 17 18:16:10 +0000 2020 | favorite_count: 29 | quote_count: 0 | reply_count: 1 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en </div><div>Scale AI's Nathan Hayflick and @danielhavir share how to train models faster with large datasets using Scale AI and PyTorch. Take a look https://t.co/1bVqAoL1LA| created_at: Wed Apr 01 18:05:34 +0000 2020 | favorite_count: 29 | quote_count: 0 | reply_count: 0 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en </div><div>"If you're a model developer or if you're one of the folks using these models for the first time in the enterprise, addressing issues such as bias, factuality and attribution are core to how we make the generative AI revolution work for everyone."
At @NVIDIAGTC, Scale Field CTO… https://t.co/7upe3WD2Bf| created_at: Fri Mar 22 00:28:39 +0000 2024 | favorite_count: 28 | quote_count: 0 | reply_count: 0 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en </div><div>🎙 We're excited to announce @EvaKaili, Chair of Science and Technology #C4AI #STOA at @Europarl_EN, as a speaker for our upcoming TransformX Conference.
 🎟 Registration is free and will give you access to all recordings: https://t.co/qDqHB1E0jw
#ArtificialIntelligence https://t.co/ORddh2j1PS| created_at: Wed Aug 25 19:44:05 +0000 2021 | favorite_count: 29 | quote_count: 2 | reply_count: 0 | retweet_count: 7 | is_quote_status: False | retweeted: False | lang: en </div><div>Is “AI whisperer” the next big thing in generative AI? Scale’s @goodside talks Prompt Engineering with @drewharwell of @washingtonpost https://t.co/odP1Z1cpRN| created_at: Sun Feb 26 15:58:13 +0000 2023 | favorite_count: 25 | quote_count: 0 | reply_count: 0 | retweet_count: 8 | is_quote_status: False | retweeted: False | lang: en </div><div>Scale's MLE @dylanslack20, presented his poster “Post Hoc Explanations of Language Models Can Improve Language Models” at NeurIPS 2023 yesterday!
He presented a method that uses post-hoc model explanations to automatically construct Chain-of-Thought (CoT) examples, leading to… https://t.co/OWDjXUsDRk| created_at: Thu Dec 14 00:45:08 +0000 2023 | favorite_count: 28 | quote_count: 0 | reply_count: 2 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en </div><div>Rebuilt from the ground up, @Scale_AI #Nucleus now helps you improve your data and models even faster. Find out how: https://t.co/uhdoOZrmja| created_at: Mon Sep 13 16:16:12 +0000 2021 | favorite_count: 28 | quote_count: 4 | reply_count: 0 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en </div><div>Scale teamed up with our friends at @OpenAI to fine-tune GPT-4 and achieved state-of-the-art performance (84% accuracy) for text-to-SQL translation on the SpiderDev Set! Here’s why that matters 🧵
https://t.co/z9EBsxds8f https://t.co/w92oaLZwWL| created_at: Wed Dec 06 20:36:38 +0000 2023 | favorite_count: 28 | quote_count: 1 | reply_count: 2 | retweet_count: 10 | is_quote_status: False | retweeted: False | lang: en </div><div>The Generative AI Hackathon was an incredible success! Hundreds of engineers from various disciplines came together, showcasing their talent and pushing the boundaries of innovation. Congratulations to our overall winners... https://t.co/vddhV0nNMH| created_at: Mon Jul 17 22:18:44 +0000 2023 | favorite_count: 27 | quote_count: 0 | reply_count: 1 | retweet_count: 3 | is_quote_status: False | retweeted: False | lang: en </div><div>“The quote goes ‘we overestimate what will happen in one year, but underestimate what will happen in ten years.’ As [AI] gets more embedded into everyday functions, it’ll be quite shocking and amazing what the world looks like.”
Scale CEO, @alexandr_wang was featured in an… https://t.co/rTosZAlLnu| created_at: Fri Dec 22 00:39:35 +0000 2023 | favorite_count: 24 | quote_count: 0 | reply_count: 0 | retweet_count: 8 | is_quote_status: False | retweeted: False | lang: en </div><div>Scale researcher and ML lead @aerinykim presents our joint research with @penn_state at @CVPR. This research helps solve a critical computer vision problem - attaching attributes (such as color &amp; shape) to object categories. Read more here: https://t.co/SQO54VrQx4 #CVPR2022 https://t.co/d4svZGcfdG| created_at: Wed Jun 22 16:46:02 +0000 2022 | favorite_count: 26 | quote_count: 0 | reply_count: 1 | retweet_count: 4 | is_quote_status: False | retweeted: False | lang: en </div><div>Today, we’re excited to introduce our updated API Documentation and some new features: https://t.co/QuViwHIGbK| created_at: Wed Sep 16 18:12:09 +0000 2020 | favorite_count: 27 | quote_count: 5 | reply_count: 3 | retweet_count: 4 | is_quote_status: False | retweeted: False | lang: en </div><div>🎉Scale AI is the 12th largest @ycombinator company! 🎉
We are proud to be the youngest company in the top 15 and grateful for the team that got us here. 
Onwards and upwards in 2021! 🚀
https://t.co/KnyvWiu1Tv https://t.co/yfeyJeXX89| created_at: Wed Jan 13 18:08:34 +0000 2021 | favorite_count: 27 | quote_count: 0 | reply_count: 1 | retweet_count: 4 | is_quote_status: False | retweeted: False | lang: en </div><div>We are thrilled to announce that Scale has acquired Berlin-based @SiaSearch, a leading data management platform, to bolster the capabilities of Nucleus and help us expand into European markets. Learn more here: https://t.co/1Zy6IMP2Ty| created_at: Wed Nov 03 18:55:16 +0000 2021 | favorite_count: 27 | quote_count: 3 | reply_count: 1 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en </div><div>📣 The world's leading AI conference is back on October 19th-21st. Don’t miss your chance to network with 20,000+ of the world’s top AI &amp; ML experts.
Save your spot! ↓
#TransformX #AI| created_at: Tue May 10 18:08:41 +0000 2022 | favorite_count: 25 | quote_count: 0 | reply_count: 6 | retweet_count: 6 | is_quote_status: True | retweeted: False | lang: en </div><div>Introducing Sensor Fusion Annotation
https://t.co/nLyuyo7Lyu https://t.co/xYBuvqKO4C| created_at: Thu Feb 15 20:03:45 +0000 2018 | favorite_count: 25 | quote_count: 0 | reply_count: 1 | retweet_count: 7 | is_quote_status: False | retweeted: False | lang: en </div><div>Scale’s Large Language Model Toolkit is now available! 
📥 Collect human-generated text over various domains and use cases
🛠️ Evaluate your model outputs with human feedback
🎯 Align your model to produce factually correct and safe content 
https://t.co/aNyXKTTtMg| created_at: Thu Mar 23 21:06:22 +0000 2023 | favorite_count: 25 | quote_count: 0 | reply_count: 0 | retweet_count: 2 | is_quote_status: False | retweeted: False | lang: en </div><div>📺 Our CEO @alexandr_wang was on @CNN's First Move! They delved into hot #AI topics &amp; examined our new cutting-edge products, Donovan: AI decision-making for national security, and our Enterprise Generative Platform (EGP): fueling innovation with Generative AI apps. https://t.co/gx872x8aHp| created_at: Tue May 30 15:40:13 +0000 2023 | favorite_count: 25 | quote_count: 0 | reply_count: 0 | retweet_count: 7 | is_quote_status: False | retweeted: False | lang: en </div><div>Introducing Teams for Scale 👨‍💻👩‍💻👩‍💼
Collaborate on datasets with your whole team, seamlessly.
https://t.co/fqziAOnjCk https://t.co/26YxdVaGlr| created_at: Tue Apr 24 20:59:00 +0000 2018 | favorite_count: 25 | quote_count: 1 | reply_count: 0 | retweet_count: 6 | is_quote_status: False | retweeted: False | lang: en </div><div>Day one of @CVPR was a success! Stop by booth #901 all week to learn more about Scale's products and research fueling the future of AI. #CVPR2022 https://t.co/ruTr1cOqiH| created_at: Wed Jun 22 04:00:59 +0000 2022 | favorite_count: 26 | quote_count: 0 | reply_count: 1 | retweet_count: 1 | is_quote_status: False | retweeted: False | lang: en </div><div>Our CEO and founder @alexandr_wang will be speaking at @TEDTalks 2023 in Vancouver - exploring what's possible with AI. Learn more 👉 https://t.co/2UPXrTwOty https://t.co/cCrMRhBAcb| created_at: Wed Mar 01 18:02:29 +0000 2023 | favorite_count: 26 | quote_count: 0 | reply_count: 0 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en </div>
Our mission is to accelerate the development of AI. We believe that to make the best models, you need the best data.| profile_url: http://www.scale.com | name: Scale AI | created_at: Tue Jul 12 03:53:27 +0000 2016 | favourites_count: 1298 | followers_count: 42607 | friends_count: 488 | media_count: 369 | possibly_sensitive: False | verified: False | statuses_count: 1685 | location: San Francisco, CA  Scale is proud to be @OpenAI’s preferred fine-tuning partner for GPT-3.5, providing fine-tuning to the world’s leading enterprises! 🧵 https://t.co/xPOnouVWon| created_at: Thu Aug 24 15:57:52 +0000 2023 | favorite_count: 197 | quote_count: 2 | reply_count: 20 | retweet_count: 33 | is_quote_status: False | retweeted: False | lang: en  Today at TransformX, we announced a huge step forward for the open source ML community: we are partnering with @StabilityAI to release the first large language model trained with human feedback. https://t.co/kRR0MUhSQ1 1/4| created_at: Thu Oct 20 00:24:59 +0000 2022 | favorite_count: 493 | quote_count: 10 | reply_count: 5 | retweet_count: 79 | is_quote_status: False | retweeted: False | lang: en  🎉 Today, we are pleased to announce our Series E round of funding of $325 million at a valuation of $7B+! 🎉
https://t.co/cO2HCSpFTe| created_at: Tue Apr 13 17:13:26 +0000 2021 | favorite_count: 374 | quote_count: 20 | reply_count: 9 | retweet_count: 42 | is_quote_status: False | retweeted: False | lang: en  📣Announcing the latest speakers joining our first-ever conference, Transform! 📣 Our blockbuster lineup now includes @soumithchintala, co-creator of @Pytorch, @drfeifei, Prof of CS @Stanford, @AndrewYNg, Founder of @DeepLearningAI_, @kevin_scott, CTO of @Microsoft! 🤩 https://t.co/4oif4DGMX3| created_at: Mon Feb 01 18:17:09 +0000 2021 | favorite_count: 280 | quote_count: 7 | reply_count: 6 | retweet_count: 41 | is_quote_status: False | retweeted: False | lang: en  We’re proud of what we’ve built over the last three years. Today we’re pleased to announce our $100M Series C fundraise led by @FoundersFund, with participation from @Accel, @IndexVentures, @sparkcapital, @ThriveCapital, @kevin, @mikeyk and @adamdangelo. https://t.co/W4zgbZmd34| created_at: Mon Aug 05 16:02:24 +0000 2019 | favorite_count: 193 | quote_count: 11 | reply_count: 10 | retweet_count: 37 | is_quote_status: False | retweeted: False | lang: en  ChatGPT and other large language models have taken the world by storm. These models are trained and tuned using Reinforcement Learning with Human Feedback (RLHF).
But what is #RLHF and how does it work? Here’s our guide:| created_at: Mon Apr 03 18:04:46 +0000 2023 | favorite_count: 160 | quote_count: 1 | reply_count: 7 | retweet_count: 45 | is_quote_status: False | retweeted: False | lang: en  📣 Join TransformX on October 6-7th - The world's leading AI virtual conference! 
🎙 Learn from 100+ expert speakers
🌎 Network with 20,000+ attendees
🔥 60+ keynotes, fireside chats, &amp; expert panels
Registration is now open. https://t.co/pmOnNvhxWT
#transformX21 https://t.co/53pW9ziSI6| created_at: Thu Jul 29 18:24:28 +0000 2021 | favorite_count: 142 | quote_count: 1 | reply_count: 2 | retweet_count: 27 | is_quote_status: False | retweeted: False | lang: en  Announcing TransformX: Our 2-day virtual conference, bringing together the world's top experts on #AI &amp; Machine Learning. #TransformX21 https://t.co/iFBLafAImo| created_at: Wed Jun 30 23:57:07 +0000 2021 | favorite_count: 125 | quote_count: 1 | reply_count: 7 | retweet_count: 35 | is_quote_status: False | retweeted: False | lang: en  Increasing the Performance of Dynamic Next.JS Websites by @guidomaliandi
https://t.co/aG1Ej49W8k https://t.co/pRDIZ1SmKm| created_at: Wed Dec 06 20:13:14 +0000 2017 | favorite_count: 127 | quote_count: 1 | reply_count: 2 | retweet_count: 36 | is_quote_status: False | retweeted: False | lang: en  📊Webinar: Meet Donovan: The AI Digital Staff Officer for National Defense
👉Secure your spot here: https://t.co/zvem7JAdmK
Gen AI is critical for the future of national defense, but how do you implement it safely and securely? 
Meet Donovan, the AI Digital Staff Officer for… https://t.co/r683V9c0c6| created_at: Wed Mar 27 00:17:27 +0000 2024 | favorite_count: 116 | quote_count: 6 | reply_count: 24 | retweet_count: 20 | is_quote_status: False | retweeted: False | lang: en  Our #generativeai hackathon is underway! We've gathered hundreds of talented engineers for a day of innovation and teamwork. With an espresso bar, live screen printing, and puppy cuddling, we're confident this hackathon will be the best one yet! https://t.co/coOTsFl8vV| created_at: Sat Jul 15 19:55:08 +0000 2023 | favorite_count: 102 | quote_count: 7 | reply_count: 4 | retweet_count: 12 | is_quote_status: False | retweeted: False | lang: en  Prompt engineering is the magic behind top-notch language model responses! 🪄
Join us on March 9th, for an in-depth webinar with @scale_AI Staff Prompt Engineer, @goodside, on the history and techniques of today's most innovative prompting strategies.
https://t.co/RfZN3LrwhZ| created_at: Thu Feb 09 15:29:46 +0000 2023 | favorite_count: 97 | quote_count: 2 | reply_count: 6 | retweet_count: 12 | is_quote_status: False | retweeted: False | lang: en  We're thrilled to share that @AndrewYNg, Founder of https://t.co/rULFYixN62 and Founder &amp; CEO of @landingAI, will be joining TransformX as a keynote speaker.
🎟 Registration is free and will give you access to all recordings: https://t.co/4RnSXxcNt9
#transformX21 #ai https://t.co/VuCmURtdiS| created_at: Wed Aug 18 20:43:19 +0000 2021 | favorite_count: 84 | quote_count: 0 | reply_count: 5 | retweet_count: 17 | is_quote_status: False | retweeted: False | lang: en  You've heard of #ChatGPT, but have you heard of Claude?
See how @AnthropicAI's new AI assistant stacks up against @OpenAI's new flagship product in our latest blog by @goodside and @spencerpapay!
https://t.co/syrPzlVIxl| created_at: Tue Jan 24 16:26:47 +0000 2023 | favorite_count: 94 | quote_count: 2 | reply_count: 3 | retweet_count: 23 | is_quote_status: False | retweeted: False | lang: en  “We’re the picks and shovels in the generative AI gold rush” - @alexandr_wang 
@btaylor likens Scale’s rise to that of cloud computing darlings Snowflake and Datadog. @jeffawilke says Scale could become the Amazon Web Services of AI.
Learn more: https://t.co/gYkCFx09vV https://t.co/Ft8O85Cl9w| created_at: Wed Apr 12 16:39:18 +0000 2023 | favorite_count: 90 | quote_count: 3 | reply_count: 3 | retweet_count: 10 | is_quote_status: False | retweeted: False | lang: en  We are proud to partner with the U.S. government to deliver transformative, next-generation large language models (LLMs) purpose-built for intelligence and operations. Learn more → https://t.co/1mbQPAXdRu https://t.co/Aj9kgo9eAy| created_at: Tue Feb 14 15:42:13 +0000 2023 | favorite_count: 83 | quote_count: 6 | reply_count: 7 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en  At Scale, we believe in using AI in support of democratic values. That’s why we are providing AI-ready datasets developers can use to rapidly train and deploy AI in support of Ukrainian and @NATO operations. Learn more and access the data here: https://t.co/5oAfaNDNTE| created_at: Fri Feb 25 01:53:02 +0000 2022 | favorite_count: 79 | quote_count: 4 | reply_count: 1 | retweet_count: 35 | is_quote_status: False | retweeted: False | lang: en  Scale is excited to launch our Automotive Foundation Model, AFM-1: a state-of-the-art, language-grounded, perception model to accelerate the development of autonomous vehicles! 🧵
https://t.co/NEdKGtrfbM https://t.co/TCS1Od1CiT| created_at: Tue Dec 05 19:31:49 +0000 2023 | favorite_count: 83 | quote_count: 4 | reply_count: 3 | retweet_count: 13 | is_quote_status: False | retweeted: False | lang: en  Calling all AI builders! 🦾Our newest LLM platform, Scale Spellbook, is now open for general availability. Build, compare, evaluate, and deploy large language model apps in minutes at https://t.co/U2hGk5NKY7| created_at: Mon Mar 27 16:14:29 +0000 2023 | favorite_count: 82 | quote_count: 2 | reply_count: 9 | retweet_count: 6 | is_quote_status: False | retweeted: False | lang: en  🎧 TFX Replay: Democratizing AI &amp; Stable Diffusion with @StabilityAI Founder &amp; CEO @EMostaque 
→ Watch the full talk and more unforgettable TransformX sessions.👇
https://t.co/01hlNOB8Mb
#stablediffusion #artificialintelligence #machinelearning https://t.co/Ftm6adGzyK| created_at: Mon Oct 31 21:49:14 +0000 2022 | favorite_count: 80 | quote_count: 1 | reply_count: 0 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en  @guidomaliandi We published a &lt;Link&gt; that allows prefetching data with Next.JS:
https://t.co/J36JWiNKgF https://t.co/n5bZZWpWzC| created_at: Thu Jan 04 21:53:45 +0000 2018 | favorite_count: 77 | quote_count: 4 | reply_count: 2 | retweet_count: 14 | is_quote_status: False | retweeted: False | lang: en  Introducing Scale's New Dashboard!
https://t.co/JttzF4d1gL https://t.co/OqD1YMRf94| created_at: Tue Dec 12 20:29:40 +0000 2017 | favorite_count: 73 | quote_count: 2 | reply_count: 2 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en  📢 We’re excited to announce the first round of 20+ speakers for TransformX 2022. 
Join us in October to hear from the world's leading AI visionaries from companies like @opensea, @OpenAI, @Stellantis and many more! 
🎟️Save Your Spot: https://t.co/DCYyo46Skp https://t.co/ZchcB4iWaC| created_at: Thu Jul 21 18:49:46 +0000 2022 | favorite_count: 71 | quote_count: 1 | reply_count: 4 | retweet_count: 19 | is_quote_status: False | retweeted: False | lang: en  Today we’re proud to introduce our two new Generative AI platforms – Scale Donovan and Scale EGP – to unlock the power of AI for every industry, from the U.S. government to the Fortune 500. 🧵| created_at: Wed May 10 16:11:20 +0000 2023 | favorite_count: 69 | quote_count: 2 | reply_count: 10 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en  https://t.co/CteeZ3wAz1 is live https://t.co/Ojui5g7YLQ| created_at: Mon Feb 13 13:07:13 +0000 2017 | favorite_count: 73 | quote_count: 3 | reply_count: 3 | retweet_count: 19 | is_quote_status: False | retweeted: False | lang: en  🎬 That’s a wrap for #TransformX 2022! 
 
From navigating an AI-enabled future to putting people on Mars with ML, we hope you enjoyed hearing from top industry minds shaping the future of AI. 🫶🤖 https://t.co/IHZusESBf5| created_at: Fri Oct 21 23:18:27 +0000 2022 | favorite_count: 67 | quote_count: 2 | reply_count: 21 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en  To help the efforts of COVID-19 research, Scale AI will provide free data annotation services for any researcher working on diagnosing, containing, tracking or finding a vaccine or long-term cure. https://t.co/PGbcdONVSe| created_at: Tue Mar 17 20:09:00 +0000 2020 | favorite_count: 65 | quote_count: 2 | reply_count: 4 | retweet_count: 16 | is_quote_status: False | retweeted: False | lang: en  Guest author @tszzl explains how large language models are starting to look like a new backbone of computing, revitalizing UNIX paradigms, and enabling human readable text as the Universal Computing Interface. Read on → https://t.co/yfmZVzrWjy| created_at: Fri Sep 09 18:28:44 +0000 2022 | favorite_count: 60 | quote_count: 1 | reply_count: 2 | retweet_count: 7 | is_quote_status: False | retweeted: False | lang: en  Today, we are pleased to announce our $155M Series D fundraise led by Tiger Global at a valuation north of $3.5B. Our CEO @alexandr_wang sat down with @jordannovet to discuss Scale to-date and our future vision: https://t.co/Nik0k1wfXy| created_at: Tue Dec 01 15:48:21 +0000 2020 | favorite_count: 59 | quote_count: 6 | reply_count: 2 | retweet_count: 19 | is_quote_status: False | retweeted: False | lang: en  Our CEO @alexandr_wang recently spoke at @TEDTalks
on the future of artificial intelligence and warfare. Learn why data will be the ammunition in the AI war and what technologists need to do today 👇
https://t.co/67jXyqylPf| created_at: Mon Jul 10 19:14:04 +0000 2023 | favorite_count: 57 | quote_count: 3 | reply_count: 7 | retweet_count: 13 | is_quote_status: False | retweeted: False | lang: en  We’re proud to introduce Scale Nucleus: our new product to help ML teams build better ML by understanding their data in-depth, debugging model performance, and sharing datasets across teams. 
https://t.co/RJriyehJgP https://t.co/A3nsZVPL9G| created_at: Wed Aug 05 16:13:11 +0000 2020 | favorite_count: 57 | quote_count: 6 | reply_count: 2 | retweet_count: 15 | is_quote_status: False | retweeted: False | lang: en  🎥 Watch live as Dr. @AndrewYNg, Founder of @DeepLearningAI_ and Founder and CEO of @landingAI shares real-world examples to show how a data-centric AI development approach helps improve the performance of machine learning models.
🎟 Register and watch: https://t.co/LJizsKzaGr https://t.co/M83F9pwlTW| created_at: Wed Oct 06 17:55:09 +0000 2021 | favorite_count: 56 | quote_count: 1 | reply_count: 1 | retweet_count: 13 | is_quote_status: False | retweeted: False | lang: en  "We appreciate that speed and execution are critical to our success. Our partnership with Scale AI, announced today, will allow us to accelerate our ability to deliver the new Chegg experience." - @Chegg CEO @DanRosensweig 
https://t.co/KWX6mjqLGJ https://t.co/t71Yk59WX1| created_at: Mon Aug 07 21:03:25 +0000 2023 | favorite_count: 54 | quote_count: 2 | reply_count: 4 | retweet_count: 12 | is_quote_status: False | retweeted: False | lang: en  We’re excited to see @cohere launching Command-R today! 
Enterprises can test and evaluate Cohere’s models on Scale GenAI Platform, incorporate these models into their RAG pipelines, and use these models to build custom GenAI apps built on their own data 💪| created_at: Mon Mar 11 23:39:45 +0000 2024 | favorite_count: 55 | quote_count: 0 | reply_count: 0 | retweet_count: 14 | is_quote_status: True | retweeted: False | lang: en  Ready. Set. Transform! ✨We're LIVE! Join 8,000 AI/ML professionals for 19 sessions and plenty of networking opportunities. https://t.co/ygVRKhEbZf| created_at: Fri Mar 26 15:05:33 +0000 2021 | favorite_count: 54 | quote_count: 5 | reply_count: 1 | retweet_count: 19 | is_quote_status: False | retweeted: False | lang: en  We're thrilled to announce our partnership with @Accenture to build a one-of-a-kind AI Center of Excellence - an important step forward in advancing Generative AI &amp; unlocking its full potential for all industries. 
Learn more about our partnership: 
https://t.co/pjNYfaAVDq| created_at: Fri Mar 31 13:56:17 +0000 2023 | favorite_count: 51 | quote_count: 3 | reply_count: 3 | retweet_count: 12 | is_quote_status: False | retweeted: False | lang: en  "AI is China’s Apollo project. To lead the world in the development of AI, we must lead the world in the amount of high quality data powering AI." - @alexandr_wang testifying before the House Armed Services Committee 
Watch live: https://t.co/yevpCLR0MB https://t.co/gVNaH6AXxR| created_at: Tue Jul 18 13:16:40 +0000 2023 | favorite_count: 55 | quote_count: 1 | reply_count: 0 | retweet_count: 11 | is_quote_status: False | retweeted: False | lang: en  Our CEO, @alexandr_wang spoke with @julie188
of @businessinsider about how he built Scale AI into a $1B company. https://t.co/OExUTq40q2| created_at: Mon Aug 24 16:44:03 +0000 2020 | favorite_count: 53 | quote_count: 2 | reply_count: 2 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en  We’re excited to announce @BradPorter_ as our first CTO! As a senior AI leader who has deployed real-world ML systems at production scale, Brad’s leadership will allow us to accelerate our ambitious roadmap. 🚀
https://t.co/MO3xZcKocy| created_at: Mon Aug 31 16:18:22 +0000 2020 | favorite_count: 51 | quote_count: 4 | reply_count: 2 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en  “Every industry is sitting on huge amounts of data. Our goal is to help them unlock the potential of data and supercharge their businesses with AI.”
Our CEO @alexandr_wang sat down with @Forbes to discuss the evolution of Scale and the impact of AI today. https://t.co/vYbJ2z4RN9| created_at: Mon Jun 13 23:28:34 +0000 2022 | favorite_count: 49 | quote_count: 1 | reply_count: 3 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en  Announcing Scale Forge! Create AI-Generated product imagery in seconds. ✨Available in Early Access: https://t.co/qe4J5mbGFl https://t.co/Pj7AAUMnZh| created_at: Thu Nov 10 16:11:09 +0000 2022 | favorite_count: 50 | quote_count: 0 | reply_count: 2 | retweet_count: 11 | is_quote_status: False | retweeted: False | lang: en  The machine learning team at Scale AI regularly hosts reading groups to discuss research papers they find interesting. Take a look at the papers the team read this past quarter: https://t.co/hqYuocKS1e| created_at: Mon Apr 06 18:03:29 +0000 2020 | favorite_count: 50 | quote_count: 1 | reply_count: 0 | retweet_count: 14 | is_quote_status: False | retweeted: False | lang: en  We collaborated with @nuTonomy to release the largest open source self-driving dataset ever, including LIDAR, RADAR, camera, IMU, and GPS
https://t.co/X5YHHpwgEa| created_at: Fri Sep 14 19:29:03 +0000 2018 | favorite_count: 47 | quote_count: 1 | reply_count: 3 | retweet_count: 25 | is_quote_status: False | retweeted: False | lang: en  Our CEO @alexandr_wang spoke at @MilkenInstitute alongside @eladgil @aplusk @nicolamen @JBoorstin on making AI a reality for every industry - from enterprise to government. Watch the full #MIGlobal panel: https://t.co/tBky3ePNSd https://t.co/v9eTl2Sczw| created_at: Tue May 02 01:38:25 +0000 2023 | favorite_count: 45 | quote_count: 0 | reply_count: 1 | retweet_count: 10 | is_quote_status: False | retweeted: False | lang: en  We’re excited to see @cohere launching Command R+ today!
Enterprises can test and evaluate Cohere’s models on Scale GenAI Platform, incorporate these models into their RAG pipelines, and use these models to build custom GenAI apps built on their own data 💪| created_at: Thu Apr 04 16:14:53 +0000 2024 | favorite_count: 49 | quote_count: 0 | reply_count: 0 | retweet_count: 6 | is_quote_status: True | retweeted: False | lang: en  300 engineers. 80 projects. One winner! 🏆
@scale_AI first-ever Generative AI Hackathon was a huge success! Learn more about the cutting-edge projects &amp; the puppy cuddling station (yes, you read that right) in our latest blog! 
https://t.co/S14TZtmV30| created_at: Thu Feb 02 16:47:25 +0000 2023 | favorite_count: 44 | quote_count: 2 | reply_count: 3 | retweet_count: 4 | is_quote_status: False | retweeted: False | lang: en  We created a Guide to Large Language Models to help you understand what LLMs are, why they are important, and how to use them to improve your business.
🧵on the highlights, including how to use and deploy LLMs.| created_at: Fri Jun 09 15:50:42 +0000 2023 | favorite_count: 45 | quote_count: 1 | reply_count: 2 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en  "The AI war will define the future of our world. We cannot sit on the sidelines and watch the rise of an authoritarian regime." - @alexandr_wang #TED2023 
Read more from @inafried in @axios: https://t.co/42Z0y0tmak https://t.co/Af1vFHpRgw| created_at: Wed Apr 19 19:47:56 +0000 2023 | favorite_count: 43 | quote_count: 0 | reply_count: 2 | retweet_count: 10 | is_quote_status: False | retweeted: False | lang: en  Today, Scale hosted a panel in partnership with @jpmorgan at #wef23. Moderated by HRH Princess Beatrice of York, the discussion focused on AI-powered progress across industries, geographies, and governments. https://t.co/vhZbH3MUO9| created_at: Tue Jan 17 20:52:24 +0000 2023 | favorite_count: 41 | quote_count: 0 | reply_count: 1 | retweet_count: 10 | is_quote_status: False | retweeted: False | lang: en  Is Elon Musk wrong about LiDAR? We compared annotated data from both camera and LiDAR to quantitatively understand LiDAR’s advantages. 
https://t.co/UfGM5VviO3| created_at: Mon Aug 12 17:39:44 +0000 2019 | favorite_count: 41 | quote_count: 3 | reply_count: 4 | retweet_count: 13 | is_quote_status: False | retweeted: False | lang: en  📣Today, we're launching a major update to the Scale GenAI Platform, the full-stack platform to transform your data into customized enterprise-ready Generative AI applications. Any use case, any model, anywhere 🧵
https://t.co/kMAwSBnWPC| created_at: Tue Feb 13 17:15:34 +0000 2024 | favorite_count: 39 | quote_count: 4 | reply_count: 1 | retweet_count: 11 | is_quote_status: False | retweeted: False | lang: en  Scale for Autonomous Driving
https://t.co/JxRfx55DWv https://t.co/kNSjWWBcMY| created_at: Thu Jun 29 19:35:56 +0000 2017 | favorite_count: 41 | quote_count: 4 | reply_count: 1 | retweet_count: 13 | is_quote_status: False | retweeted: False | lang: en  🧵1/8
Learn how you can build capable large-language model agents, assistants, and applications with Scale Spellbook 🪄→ https://t.co/ICn4gIOaeZ https://t.co/zwkMo9jtOb| created_at: Tue Nov 08 20:30:00 +0000 2022 | favorite_count: 40 | quote_count: 0 | reply_count: 2 | retweet_count: 1 | is_quote_status: False | retweeted: False | lang: en  Exciting news! Scale has raised $18M in Series B funding led by @IndexVentures with @Accel, @ycombinator, @drewhouston and @justinkan participating.
Read more from our CEO, @alexandr_wang
https://t.co/FjDE5Yzn5M| created_at: Tue Aug 07 17:11:40 +0000 2018 | favorite_count: 38 | quote_count: 4 | reply_count: 1 | retweet_count: 7 | is_quote_status: False | retweeted: False | lang: en  We are excited to announce our partnership with @AnthropicAI to unlock Generative AI for every industry! Secure your data, improve model performance, and validate models against your policies with our enterprise-grade platform. Learn more 👉 https://t.co/pMnqff6Kzd| created_at: Wed Apr 26 22:43:21 +0000 2023 | favorite_count: 39 | quote_count: 0 | reply_count: 0 | retweet_count: 6 | is_quote_status: False | retweeted: False | lang: en  Transformers––a neural network architecture based on a self-attention mechanism pioneered by @Google took the machine learning world by storm in 2021.
Learn more in this highlights piece from the State of AI 2021 Report with @nathanbenaich. https://t.co/Vx6cjr0X9j| created_at: Thu Jan 06 17:34:21 +0000 2022 | favorite_count: 38 | quote_count: 1 | reply_count: 1 | retweet_count: 8 | is_quote_status: False | retweeted: False | lang: en  You've seen ChatGPT everywhere...but what makes it so good? 🤔
Read more about ChatGPT, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) in our latest blog by @c_viernickel 
#chatgpt #rlhf
https://t.co/1mS7nlBNwY| created_at: Fri Jan 27 17:38:55 +0000 2023 | favorite_count: 37 | quote_count: 1 | reply_count: 2 | retweet_count: 6 | is_quote_status: False | retweeted: False | lang: en  Scale’s Staff Prompt Engineer, @goodside joined @kevinroose on the @nytimes' Hard Fork podcast to discuss the future of prompt engineering, red teaming, and why you can’t get a recipe for dangerously spicy mayo from an LLM. 🌶️
Listen here: https://t.co/DJpK1Wv2F4| created_at: Fri Sep 29 16:25:22 +0000 2023 | favorite_count: 33 | quote_count: 0 | reply_count: 2 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en  Join Scale in San Francisco on April 20 for the highly anticipated all-women Generative AI Hackathon with Title Developer sponsor @github! 🌉👩‍💻
👉 https://t.co/FNfXCVFJsV https://t.co/MUb7TraUxg| created_at: Tue Mar 19 00:29:02 +0000 2024 | favorite_count: 37 | quote_count: 4 | reply_count: 3 | retweet_count: 15 | is_quote_status: False | retweeted: False | lang: en  How fast can robots learn? 🤖
💡Find out in our next #TransformX session with @pabbeel, Co-Founder of @CovariantAI, where he will discuss paving the path to generalizable robotics. 
🛑LIVE: https://t.co/fJt64b3ePO https://t.co/0fN0Aajxr8| created_at: Thu Oct 20 16:06:30 +0000 2022 | favorite_count: 37 | quote_count: 0 | reply_count: 1 | retweet_count: 7 | is_quote_status: False | retweeted: False | lang: en  🚗 Rev up your knowledge on self-driving systems!
Join industry experts @goldenkatepark and Ben Levin at @scale_AI's Tech Talk as they unlock the power of data engines for improved system performance. 
Don't miss out, register now!
#av #ai
https://t.co/ukLUwciuZ8| created_at: Tue Apr 18 17:43:41 +0000 2023 | favorite_count: 34 | quote_count: 0 | reply_count: 1 | retweet_count: 6 | is_quote_status: False | retweeted: False | lang: en  Scale is proud to collaborate with @NVIDIA to power the next generation of LLMs for generative AI! 🧵
https://t.co/fDKf1Qhae6 https://t.co/SzobilORLF| created_at: Mon Nov 27 20:03:17 +0000 2023 | favorite_count: 36 | quote_count: 1 | reply_count: 2 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en  We’ll release our first trained model with Stability AI soon. If you want to start tinkering with RLHF now, we’re also helping develop TRLX: https://t.co/dzzR1pOv6e — the open source library for reinforcement learning with transformers.| created_at: Thu Oct 20 00:25:00 +0000 2022 | favorite_count: 36 | quote_count: 0 | reply_count: 1 | retweet_count: 8 | is_quote_status: False | retweeted: False | lang: en  Today, we are pleased to announce our first-ever conference: Scale Transform! https://t.co/rxo57FKXTe| created_at: Tue Jan 19 19:04:52 +0000 2021 | favorite_count: 36 | quote_count: 3 | reply_count: 2 | retweet_count: 11 | is_quote_status: False | retweeted: False | lang: en  Today we are excited to announce the launch of our Smart Port Lab, where AI-enabled infrastructure will be researched, built, and exported to shipping ports globally. Learn more in the @business exclusive 👉 https://t.co/2arjR1SUsz| created_at: Thu Feb 16 16:32:08 +0000 2023 | favorite_count: 35 | quote_count: 1 | reply_count: 1 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en  Reinforcement learning with human feedback (RLHF) is what powers the highest performing language models. https://t.co/j5YLpgog91| created_at: Thu Oct 20 00:24:59 +0000 2022 | favorite_count: 33 | quote_count: 0 | reply_count: 2 | retweet_count: 2 | is_quote_status: False | retweeted: False | lang: en  We are grateful and humbled to be selected as one of @Wealthfront's Career Launching Companies. Come join us to launch your career! 🚀
https://t.co/cPL5KqpliC 
https://t.co/VT9dsaKi8H| created_at: Fri Dec 13 02:16:35 +0000 2019 | favorite_count: 33 | quote_count: 2 | reply_count: 1 | retweet_count: 2 | is_quote_status: False | retweeted: False | lang: en  🚀Introducing: Scale Document!
Scale Document enables us to support customers with document processing and understanding use cases. 
Take a look: https://t.co/U9osrUBPrk| created_at: Wed Apr 22 15:16:29 +0000 2020 | favorite_count: 33 | quote_count: 4 | reply_count: 0 | retweet_count: 7 | is_quote_status: False | retweeted: False | lang: en  We integrated a live demo of our Sensor Fusion Visualizer onto our homepage.
https://t.co/hmoa6PFYRs https://t.co/ep1ojS52OC| created_at: Mon Jan 22 20:40:58 +0000 2018 | favorite_count: 33 | quote_count: 3 | reply_count: 1 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en  Introducing the world’s first dataset for training autonomous vehicles in icy and snowy winter weather in partnership with @UWaterloo and @UofT. Take a look!
https://t.co/uAWyBK2SeC https://t.co/5yWxGrz6wg| created_at: Mon Feb 03 16:54:53 +0000 2020 | favorite_count: 32 | quote_count: 1 | reply_count: 2 | retweet_count: 4 | is_quote_status: False | retweeted: False | lang: en  Hosted by @Alexandr_Wang and @natfriedman, the AI Security Summit brought together the world’s foremost AI leaders to explore the current and future state of generative AI.
Special thanks to sponsors @Accel and @CoreWeave. https://t.co/COrFszLrCR| created_at: Mon Nov 20 20:11:57 +0000 2023 | favorite_count: 29 | quote_count: 1 | reply_count: 1 | retweet_count: 6 | is_quote_status: False | retweeted: False | lang: en  Scale’s paper “Detecting and Preventing Hallucinations in Large Vision Language Models” has been accepted for publication in AAAI 2024! 🧵
https://t.co/y9VeltE2q7| created_at: Wed Dec 20 00:17:35 +0000 2023 | favorite_count: 31 | quote_count: 0 | reply_count: 2 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en  Our CEO @alexandr_wang joins the @Inc Founders Project podcast to share his vision for Scale, how #AI is changing software development, and why he surrounds himself with positive people. https://t.co/X0NThHtq7j https://t.co/8kw5ND4YaZ| created_at: Wed Apr 07 23:14:43 +0000 2021 | favorite_count: 31 | quote_count: 3 | reply_count: 0 | retweet_count: 3 | is_quote_status: False | retweeted: False | lang: en  The machine learning team at Scale AI regularly meets to discuss research papers they find interesting. Take a look at the papers the team read this past quarter: https://t.co/IbuGBlMC2l| created_at: Wed Oct 07 16:34:35 +0000 2020 | favorite_count: 31 | quote_count: 0 | reply_count: 0 | retweet_count: 12 | is_quote_status: False | retweeted: False | lang: en  🎙️Closing out #transform21, @drfeifei of @StanfordHAI joins our CEO @alexandr_wang to discuss human-centered AI and the importance of Diversity. 🙌
Last chance to join! 
https://t.co/In9ryHEuGh https://t.co/AHFvOGa06I| created_at: Fri Mar 26 23:18:25 +0000 2021 | favorite_count: 31 | quote_count: 1 | reply_count: 1 | retweet_count: 7 | is_quote_status: False | retweeted: False | lang: en  Thanks for the recognition, @ycombinator! 🚀| created_at: Tue Feb 28 04:37:02 +0000 2023 | favorite_count: 31 | quote_count: 0 | reply_count: 0 | retweet_count: 1 | is_quote_status: True | retweeted: False | lang: en  Scale partnered with OpenAI on InstructGPT (https://t.co/3LBTLdHVpQ), and we’re excited to make these techniques available to everyone.| created_at: Thu Oct 20 00:24:59 +0000 2022 | favorite_count: 29 | quote_count: 0 | reply_count: 1 | retweet_count: 4 | is_quote_status: False | retweeted: False | lang: en  Scale's LLMs for national security are now available on @Tradewind_ai! @DeptofDefense customers can achieve mission objectives even faster with AI purpose-built for intelligence and operations. Deploy today 👉 https://t.co/6nW3o6Cl1T| created_at: Mon Mar 06 23:33:36 +0000 2023 | favorite_count: 29 | quote_count: 4 | reply_count: 2 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en  We are grateful to @Forbes for the recognition as one of America's Most Promising AI Companies for the second year running! 
https://t.co/2E9WCD9Ymp| created_at: Mon Jul 06 16:42:15 +0000 2020 | favorite_count: 30 | quote_count: 3 | reply_count: 0 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en  At Scale AI, we use machine learning to empower our data labeling pipeline. In our last blog of 2020, our ML team discusses tricks they discovered to improve @PyTorch transformer implementation with just a few lines of code. Read more: https://t.co/xvamBdE6er| created_at: Thu Dec 17 18:16:10 +0000 2020 | favorite_count: 29 | quote_count: 0 | reply_count: 1 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en  Scale AI's Nathan Hayflick and @danielhavir share how to train models faster with large datasets using Scale AI and PyTorch. Take a look https://t.co/1bVqAoL1LA| created_at: Wed Apr 01 18:05:34 +0000 2020 | favorite_count: 29 | quote_count: 0 | reply_count: 0 | retweet_count: 9 | is_quote_status: False | retweeted: False | lang: en  "If you're a model developer or if you're one of the folks using these models for the first time in the enterprise, addressing issues such as bias, factuality and attribution are core to how we make the generative AI revolution work for everyone."
At @NVIDIAGTC, Scale Field CTO… https://t.co/7upe3WD2Bf| created_at: Fri Mar 22 00:28:39 +0000 2024 | favorite_count: 28 | quote_count: 0 | reply_count: 0 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en  🎙 We're excited to announce @EvaKaili, Chair of Science and Technology #C4AI #STOA at @Europarl_EN, as a speaker for our upcoming TransformX Conference.
 🎟 Registration is free and will give you access to all recordings: https://t.co/qDqHB1E0jw
#ArtificialIntelligence https://t.co/ORddh2j1PS| created_at: Wed Aug 25 19:44:05 +0000 2021 | favorite_count: 29 | quote_count: 2 | reply_count: 0 | retweet_count: 7 | is_quote_status: False | retweeted: False | lang: en  Is “AI whisperer” the next big thing in generative AI? Scale’s @goodside talks Prompt Engineering with @drewharwell of @washingtonpost https://t.co/odP1Z1cpRN| created_at: Sun Feb 26 15:58:13 +0000 2023 | favorite_count: 25 | quote_count: 0 | reply_count: 0 | retweet_count: 8 | is_quote_status: False | retweeted: False | lang: en  Scale's MLE @dylanslack20, presented his poster “Post Hoc Explanations of Language Models Can Improve Language Models” at NeurIPS 2023 yesterday!
He presented a method that uses post-hoc model explanations to automatically construct Chain-of-Thought (CoT) examples, leading to… https://t.co/OWDjXUsDRk| created_at: Thu Dec 14 00:45:08 +0000 2023 | favorite_count: 28 | quote_count: 0 | reply_count: 2 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en  Rebuilt from the ground up, @Scale_AI #Nucleus now helps you improve your data and models even faster. Find out how: https://t.co/uhdoOZrmja| created_at: Mon Sep 13 16:16:12 +0000 2021 | favorite_count: 28 | quote_count: 4 | reply_count: 0 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en  Scale teamed up with our friends at @OpenAI to fine-tune GPT-4 and achieved state-of-the-art performance (84% accuracy) for text-to-SQL translation on the SpiderDev Set! Here’s why that matters 🧵
https://t.co/z9EBsxds8f https://t.co/w92oaLZwWL| created_at: Wed Dec 06 20:36:38 +0000 2023 | favorite_count: 28 | quote_count: 1 | reply_count: 2 | retweet_count: 10 | is_quote_status: False | retweeted: False | lang: en  The Generative AI Hackathon was an incredible success! Hundreds of engineers from various disciplines came together, showcasing their talent and pushing the boundaries of innovation. Congratulations to our overall winners... https://t.co/vddhV0nNMH| created_at: Mon Jul 17 22:18:44 +0000 2023 | favorite_count: 27 | quote_count: 0 | reply_count: 1 | retweet_count: 3 | is_quote_status: False | retweeted: False | lang: en  “The quote goes ‘we overestimate what will happen in one year, but underestimate what will happen in ten years.’ As [AI] gets more embedded into everyday functions, it’ll be quite shocking and amazing what the world looks like.”
Scale CEO, @alexandr_wang was featured in an… https://t.co/rTosZAlLnu| created_at: Fri Dec 22 00:39:35 +0000 2023 | favorite_count: 24 | quote_count: 0 | reply_count: 0 | retweet_count: 8 | is_quote_status: False | retweeted: False | lang: en  Scale researcher and ML lead @aerinykim presents our joint research with @penn_state at @CVPR. This research helps solve a critical computer vision problem - attaching attributes (such as color &amp; shape) to object categories. Read more here: https://t.co/SQO54VrQx4 #CVPR2022 https://t.co/d4svZGcfdG| created_at: Wed Jun 22 16:46:02 +0000 2022 | favorite_count: 26 | quote_count: 0 | reply_count: 1 | retweet_count: 4 | is_quote_status: False | retweeted: False | lang: en  Today, we’re excited to introduce our updated API Documentation and some new features: https://t.co/QuViwHIGbK| created_at: Wed Sep 16 18:12:09 +0000 2020 | favorite_count: 27 | quote_count: 5 | reply_count: 3 | retweet_count: 4 | is_quote_status: False | retweeted: False | lang: en  🎉Scale AI is the 12th largest @ycombinator company! 🎉
We are proud to be the youngest company in the top 15 and grateful for the team that got us here. 
Onwards and upwards in 2021! 🚀
https://t.co/KnyvWiu1Tv https://t.co/yfeyJeXX89| created_at: Wed Jan 13 18:08:34 +0000 2021 | favorite_count: 27 | quote_count: 0 | reply_count: 1 | retweet_count: 4 | is_quote_status: False | retweeted: False | lang: en  We are thrilled to announce that Scale has acquired Berlin-based @SiaSearch, a leading data management platform, to bolster the capabilities of Nucleus and help us expand into European markets. Learn more here: https://t.co/1Zy6IMP2Ty| created_at: Wed Nov 03 18:55:16 +0000 2021 | favorite_count: 27 | quote_count: 3 | reply_count: 1 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en  📣 The world's leading AI conference is back on October 19th-21st. Don’t miss your chance to network with 20,000+ of the world’s top AI &amp; ML experts.
Save your spot! ↓
#TransformX #AI| created_at: Tue May 10 18:08:41 +0000 2022 | favorite_count: 25 | quote_count: 0 | reply_count: 6 | retweet_count: 6 | is_quote_status: True | retweeted: False | lang: en  Introducing Sensor Fusion Annotation
https://t.co/nLyuyo7Lyu https://t.co/xYBuvqKO4C| created_at: Thu Feb 15 20:03:45 +0000 2018 | favorite_count: 25 | quote_count: 0 | reply_count: 1 | retweet_count: 7 | is_quote_status: False | retweeted: False | lang: en  Scale’s Large Language Model Toolkit is now available! 
📥 Collect human-generated text over various domains and use cases
🛠️ Evaluate your model outputs with human feedback
🎯 Align your model to produce factually correct and safe content 
https://t.co/aNyXKTTtMg| created_at: Thu Mar 23 21:06:22 +0000 2023 | favorite_count: 25 | quote_count: 0 | reply_count: 0 | retweet_count: 2 | is_quote_status: False | retweeted: False | lang: en  📺 Our CEO @alexandr_wang was on @CNN's First Move! They delved into hot #AI topics &amp; examined our new cutting-edge products, Donovan: AI decision-making for national security, and our Enterprise Generative Platform (EGP): fueling innovation with Generative AI apps. https://t.co/gx872x8aHp| created_at: Tue May 30 15:40:13 +0000 2023 | favorite_count: 25 | quote_count: 0 | reply_count: 0 | retweet_count: 7 | is_quote_status: False | retweeted: False | lang: en  Introducing Teams for Scale 👨‍💻👩‍💻👩‍💼
Collaborate on datasets with your whole team, seamlessly.
https://t.co/fqziAOnjCk https://t.co/26YxdVaGlr| created_at: Tue Apr 24 20:59:00 +0000 2018 | favorite_count: 25 | quote_count: 1 | reply_count: 0 | retweet_count: 6 | is_quote_status: False | retweeted: False | lang: en  Day one of @CVPR was a success! Stop by booth #901 all week to learn more about Scale's products and research fueling the future of AI. #CVPR2022 https://t.co/ruTr1cOqiH| created_at: Wed Jun 22 04:00:59 +0000 2022 | favorite_count: 26 | quote_count: 0 | reply_count: 1 | retweet_count: 1 | is_quote_status: False | retweeted: False | lang: en  Our CEO and founder @alexandr_wang will be speaking at @TEDTalks 2023 in Vancouver - exploring what's possible with AI. Learn more 👉 https://t.co/2UPXrTwOty https://t.co/cCrMRhBAcb| created_at: Wed Mar 01 18:02:29 +0000 2023 | favorite_count: 26 | quote_count: 0 | reply_count: 0 | retweet_count: 5 | is_quote_status: False | retweeted: False | lang: en
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