[Paper Reading] Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Last Updated on 2024-07-25 by Clay
Introduction
RAG-based LLM is a well-known architecture in current usage of Large Language Models (LLM). It involves "retrieval" to provide the model with prior knowledge that it lacks during training, enabling the model to answer questions in the context of specific information.
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