April 24, 2024, 2:57 a.m. | Aniket Hingane

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Teamwork Makes the Dream Work: The Collaborative Core of RAG 2.0


Full Article


What is this Article about?

• This article delves into Retrieval-Augmented Generation (RAG), a method for making AI language models smarter by giving them access to external knowledge.

• It highlights the limitations of RAG 1.0, where components worked separately, leading to errors.

• The focus is on RAG 2.0, which trains all components (language model, retriever, and knowledge sources) as a single system for dramatically improved …

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