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Fine-tuning

Fine-tuning is training an existing model further on your own examples, to specialise its behaviour or style.

Written by Reflective Data experts · updated Oct 5, 2026

It can improve consistency on a narrow task, but it is often unnecessary: good prompts, retrieval and tool use solve many problems at lower cost and with easier updates.

Try prompting and retrieval first, and fine-tune only if evaluations show a gap.

related

AI evaluations (evals)Large language model (LLM)Prompt engineering

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