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This course explains how Retrieval-Augmented Generation supplements foundation models with relevant external data from documents, databases, or APIs. It covers embedding data, adding retrieved context to prompts, and updating knowledge libraries independently.
Syllabus
Boosting LLMs Performance with Retrieval-Augmented Generation (RAG)
Taught by
Data Science Dojo