Commit to a concrete first-pass plan for collecting and reviewing fine-tuning examples.
Fine-tuning starter data plan Plan the first dataset, not the dream dataset Stable behavior target Name the one repeated behavior you want to train: format, style, label judgment, or refusal pattern. If the target is still changing, stop here and go back to prompt or retrieval design. What stays outside training List the facts, policies, or documents that change and should be supplied through retrieval instead of being baked into the dataset. Starter example mix Plan the first 50 reviewed demonstrations across normal, edge, and refusal-or-escalation cases, and note who will approve each slice. Evaluation signal Write the pass/fail signal…
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