text: AnyscaleAnyscale is a fully-managed Ray platform, on which you can build, deploy, and manage scalable AI and Python applicationsğŸ“„ï¸� Azure OpenAIThis notebook goes over how to use Langchain with Azure OpenAI.ğŸ“„ï¸� AzureML Online EndpointAzureML is a platform used to build, train, and deploy machine learning models. Users can explore the types of models to deploy in the Model Catalog, which provides Azure Foundation Models and OpenAI Models. Azure Foundation Models include various open-source models and popular Hugging Face models. Users can also import models of their liking into AzureML.ğŸ“„ï¸� BananaBanana is focused on building the machine learning infrastructure.ğŸ“„ï¸� BasetenBaseten provides all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently.ğŸ“„ï¸� BeamCalls the Beam API wrapper to deploy and make subsequent calls to an instance of the gpt2 LLM in a cloud deployment. Requires installation of the Beam library and registration of Beam Client ID and Client Secret. By calling the wrapper an instance of the model is created and run, with returned text relating to the prompt. Additional calls can then be made by directly calling the Beam API.ğŸ“„ï¸� BedrockAmazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available via an API, so you can choose from a wide range of FMs to find the model that is best suited for your use caseğŸ“„ï¸� CerebriumAICerebrium is an AWS Sagemaker alternative. It also provides API access to several LLM models.ğŸ“„ï¸� ChatGLMChatGLM-6B is an open bilingual language model based on