Fine-tuning a language model — a practical field guide — Ajinkya Kulkarni

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Fine-tuning a language model

Fine-tuning a language model — a practical field guide

Three ways to make a model better at your task You don’t retrain the whole model Five steps, start to finish Pick the smallest model that works The three settings that matter Test locally, train on a rented GPU Do it in this order Part II: a real example See it run, side by side A narrow job, not an open-ended assistant Six steps, in order Every claim says how it was checked Replay versus rollout, and a correction The five that are easy to miss What an outside review still found Should the model be the agent, or just fill in the slots? Define “done,” then grade against it The commands, end to end Don't trust your own good numbers

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