PRODUCTION SCENARIO
A claims team needs 30 few-shot examples to make Gemini write summaries in its house layout: a claim-type code first, then a three-line action list. The prompt is expensive, the layout is still wrong in 8% of cases, and the team holds 1,500 approved summaries.
Which approach should the team evaluate next?
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Show answer and explanation
Answer: Supervised fine-tuning on the approved summaries, dropping the examples
Supervised fine-tuning suits a well-defined task with labeled data and is the recommended way to teach a specific output structure that a prompt cannot hold reliably. With 1,500 approved summaries on hand, tuning also lets the 30 examples come out of every request, which shortens the context and lowers the cost.