Gemma is now available in Amazon SageMaker JumpStart
Today, we’re excited to announce that the Gemma model is now available for customers using Amazon SageMaker JumpStart. Gemma is a family of language models based on Google’s Gemini models,…
Announcements
Code Llama 70B is now available in Amazon SageMaker JumpStart
Today, we are excited to announce that Code Llama foundation models, developed by Meta, are available for customers through Amazon SageMaker JumpStart to deploy with one click for running inference.…
Announcing support for Llama 2 and Mistral models and streaming responses in Amazon SageMaker Canvas
Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service for building and deploying machine learning (ML) models without the need to write any code. Ready-to-use Foundation Models (FMs)…
Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart
One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). In the RAG pattern, we find pieces of reference content related to an input…
Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20% | Amazon Web Services
Large language model (LLM) training has surged in popularity over the last year with the release of several popular models such as Llama 2, Falcon, and Mistral. Customers are now…
Mixtral-8x7B is now available in Amazon SageMaker JumpStart | Amazon Web Services
Today, we are excited to announce that the Mixtral-8x7B large language model (LLM), developed by Mistral AI, is available for customers through Amazon SageMaker JumpStart to deploy with one click…
Llama Guard is now available in Amazon SageMaker JumpStart | Amazon Web Services
Today we are excited to announce that the Llama Guard model is now available for customers using Amazon SageMaker JumpStart. Llama Guard provides input and output safeguards in large language…
Enable faster training with Amazon SageMaker data parallel library | Amazon Web Services
Large language model (LLM) training has become increasingly popular over the last year with the release of several publicly available models such as Llama2, Falcon, and StarCoder. Customers are now…
Amazon SageMaker simplifies setting up SageMaker domain for enterprises to onboard their users to SageMaker | Amazon Web Services
As organizations scale the adoption of machine learning (ML), they are looking for efficient and reliable ways to deploy new infrastructure and onboard teams to ML environments. One of the…
Experience the new and improved Amazon SageMaker Studio | Amazon Web Services
Launched in 2019, Amazon SageMaker Studio provides one place for all end-to-end machine learning (ML) workflows, from data preparation, building and experimentation, training, hosting, and monitoring. As we continue to…