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Why Fine-Tuning LLMs Is Usually a Mistake

Unless you need a very specific type of output/task, fine-tuning is typically a bad idea. •LLM progress is very fast and there’s a new LLM released nearly every day. The chances that your fine-tuned LLM will be state of the art is very low.
•RAG and extended context is a

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