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Generative AI

When do you use RAG instead of fine-tuning?

RAG when the model lacks knowledge: facts that change, are private, or need a citation. Fine-tuning when it lacks behaviour: a format, a tone, a narrow task. An index is cheaper to update than weights, so reach for RAG first.

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Card 1 of 213. Answer: RAG when the model lacks knowledge: facts that change, are private, or need a citation. Fine-tuning when it lacks behaviour: a format, a tone, a narrow task. An index is cheaper to update than weights, so reach for RAG first.

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