Hamel Husain: Jev and LLM judges are both classifiers—validate against trusted labels
HamelHusain · x · 2026-09-28
- In his AI Evals FAQ, Hamel Husain answers "Can I use Jev for evals?": yes. Jev (from TypeSafe) is a general-purpose classifier, and an LLM judge returning Pass/Fail is also a classifier—treat both the same way.
- Validation is identical: compare predictions against trusted human labels, and keep training/dev/test data separate to avoid overfitting.
- The advantage of a fast, cheap classifier like Jev is that it makes automated prompt tuning (e.g., the GEPA algorithm) significantly cheaper—tuning can require hundreds or thousands of runs, so lower per-run cost adds up.
- Takeaway: no single classifier fits every eval; use human-label validation to trade off accuracy, cost, and speed.
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