Pick the optimization move before training
Choose the lightest model optimization method that matches the observed failure.
The move: diagnose the failure before you touch the weights. Fine-tuning is not a general cleanup tool. It is a commitment to make one behavior more likely across future calls. That is exactly why it works - and why it causes trouble when the target is fuzzy. Prompt or examples Use this when the model can do the work after clearer instructions or a few high-quality demonstrations. It is fastest to reverse and easiest to inspect. Retrieval or tools Use this when the model is missing facts, policies, prices, product details, or live data. The model should look up the…
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