Summary and Quiz
Explore the essentials of adapting foundation models using SageMaker JumpStart, including fine-tuning and retrieval-augmented generation, guided by a decision framework. Understand HyperPod's features for resilient frontier-scale training such as automatic checkpointing and dynamic cluster resizing. This lesson also includes a quiz to test your knowledge of these advanced AI deployment techniques.
Summary
This chapter explains how to adapt foundation models using SageMaker JumpStart, covering fine-tuning, retrieval-augmented generation, and the decision framework between them. It then expands into HyperPod for frontier-scale training resilience.
Foundation models, fine-tuning, and retrieval-augmented generation
SageMaker JumpStart centralizes a model catalog and ...