Amazon SageMaker Studio offers comprehensive tools for end-to-end ML development—from preparing data to training models, tracking experiments, deploying models, and managing pipelines—all in an integrated development environment. To accelerate generative AI development, you need integrated purpose-built tools to train and tune your foundation models (FMs) and a flexible environment to customize your ML workflow. In this session, learn about the latest SageMaker Studio features to help you quickly build, test, fine-tune, and iterate models to improve productivity and performance. Also hear how BMW Group accelerates AI/ML development with SageMaker Studio.
Access the code used in the demo here:
https://go.aws/3wzFWh2
https://go.aws/48wBJb9
Learn more about AWS re:Invent at https://go.aws/46iuzGv.
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