So I have collected a very high quality and large medical QA dataset that I want to use to create a medical knowledge retrieval app. I have heard LLMs perform much better when it is fine tuned on the same data on which RAG is performed. Is it true? And is it worth the hassle of fine-tuning or am I good with pure RAG?
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