Experience the new and improved Amazon SageMaker Studio

Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements

New – Code Editor, based on Code-OSS VS Code Open Source now available in Amazon SageMaker Studio

Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services

Schedule Amazon SageMaker notebook jobs and manage multi-step notebook workflows using APIs

Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio

Use Amazon SageMaker Studio to build a RAG question answering solution with Llama 2, LangChain, and Pinecone for fast experimentation

Explore advanced techniques for hyperparameter optimization with Amazon SageMaker Automatic Model Tuning

Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker

How VirtuSwap accelerates their pandas-based trading simulations with an Amazon SageMaker Studio custom container and AWS GPU instances