♦ Last Updated on July 29, 2024 ♦
Simply put, RAG is the technique to put additional context for our LLMs to generate better and more specific responses. LLMs are trained on publicly available data; they are really intelligent systems independently, yet they can’t answer specific questions because they lack the context to answer those queries. With RAG, we provide the necessary context for them to answer our queries correctly.
What could that context be? How about the sacred texts of the Unification movement of old and new!
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