FINE-TUNING-VS-RAG4 MIN READ
Small dataset, big promise
Reject premature fine-tuning when the dataset is too thin and evals are missing.
You have 42 approved examples, no held-out eval set, and a stakeholder asking for fine-tuning because the demo felt inconsistent.
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