aws-samples/llm-apps-workshop
Use LLMs for building real-world apps
Demonstrates inference, embeddings generation, and retrieval-augmented generation (RAG) patterns using Amazon SageMaker JumpStart to host LLMs as managed endpoints. Includes practical examples integrating LangChain, OpenSearch, and Streamlit for question-answering applications. Covers prompt engineering techniques including zero-shot and few-shot learning approaches.
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