machine learning7 min read
Tuning Jev, Part 3: Tuning Is Task-Specific, Four Places to Put Few-Shot Examples
Third in a series on tuning Jev as an LLM judge: Part 1 covered quality judging, Part 2 covered safety judging. Both found the same thing about few-shot: packing labeled exemplars into Jev’s state moved the model's output, sometimes won cleanly on a dev set, and never survived the held-out test…
By Niharika BalachandraTowards AI
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Originally published by Towards AI on Oct 17, 2026.
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