learning-at-home (Learning@home)

mryab

authored a paper 2 months ago

Towards Best Practices for Open Datasets for LLM Training

Paper • 2501.08365 • Published Jan 14 • 59

mryab

authored a paper 4 months ago

RedPajama: an Open Dataset for Training Large Language Models

Paper • 2411.12372 • Published Nov 19, 2024 • 55

yhn112

authored a paper 9 months ago

Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees

Paper • 2110.03313 • Published Oct 7, 2021 • 1

mryab

authored a paper 9 months ago

Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees

Paper • 2110.03313 • Published Oct 7, 2021 • 1

yhn112

authored 5 papers 9 months ago

Secure Distributed Training at Scale

Paper • 2106.11257 • Published Jun 21, 2021 • 1

SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient

Paper • 2301.11913 • Published Jan 27, 2023 • 1

Distributed Deep Learning in Open Collaborations

Paper • 2106.10207 • Published Jun 18, 2021 • 2

Training Transformers Together

Paper • 2207.03481 • Published Jul 7, 2022 • 5

A critical look at the evaluation of GNNs under heterophily: Are we really making progress?

Paper • 2302.11640 • Published Feb 22, 2023 • 1

mryab

authored 5 papers 11 months ago

The Hallucinations Leaderboard -- An Open Effort to Measure Hallucinations in Large Language Models

Paper • 2404.05904 • Published Apr 8, 2024 • 9

mryab

authored a paper about 1 year ago

Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements

Paper • 2401.06766 • Published Jan 12, 2024 • 2

mryab

authored a paper over 1 year ago

Distributed Inference and Fine-tuning of Large Language Models Over The Internet

Paper • 2312.08361 • Published Dec 13, 2023 • 28

borzunov

authored a paper over 1 year ago

Distributed Inference and Fine-tuning of Large Language Models Over The Internet

Paper • 2312.08361 • Published Dec 13, 2023 • 28

mryab

authored 3 papers over 1 year ago

Training Transformers Together

Paper • 2207.03481 • Published Jul 7, 2022 • 5

Hypernymy Understanding Evaluation of Text-to-Image Models via WordNet Hierarchy

Paper • 2310.09247 • Published Oct 13, 2023 • 3

FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU

Paper • 2303.06865 • Published Mar 13, 2023 • 1

Learning@home

AI & ML interests

learning-at-home's activity

Towards Best Practices for Open Datasets for LLM Training

RedPajama: an Open Dataset for Training Large Language Models

Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees

Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees

Secure Distributed Training at Scale

SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient

Distributed Deep Learning in Open Collaborations

Training Transformers Together

A critical look at the evaluation of GNNs under heterophily: Are we really making progress?

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

RuCoLA: Russian Corpus of Linguistic Acceptability

Petals: Collaborative Inference and Fine-tuning of Large Models

Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding

The Hallucinations Leaderboard -- An Open Effort to Measure Hallucinations in Large Language Models

Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements

Distributed Inference and Fine-tuning of Large Language Models Over The Internet

Distributed Inference and Fine-tuning of Large Language Models Over The Internet

Training Transformers Together

Hypernymy Understanding Evaluation of Text-to-Image Models via WordNet Hierarchy

FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU

AI & ML interests

Team members 4

learning-at-home's activity