The question here is about whether you can use fine-tuning to add small amounts of additional knowledge to an LLM – to solve the "chat about information in this documentation" problem RAG is the common solution to that problem. Can fine-tuning solve that problem too?
Fine-tuning vs RAG: Adding Knowledge to Language Models
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