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Evaluating LLM Applications

This story is from 2026-09-12. It is preserved in the archive; the latest stories are on the live feed.

⚡ TL;DR: Treat evals as unit tests for non-deterministic output. Build golden datasets, deterministic checks, and LLM-as-judge scoring, then add regression gates so you ship on evidence instead of vibes. Run both offline and online. Contents You changed a prompt and have no idea if it got better Th…

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  1. 2026-09-12 13:48 · DEV Community — Machine Learning
    Evaluating LLM Applications

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