We benchmarked a multilingual LLM judge on Spanish and Catalan text against human labels using Jev from TypeSafe. The result: keep rubric questions in English to maintain accuracy.
How to measure whether an LLM application actually works, from traces and golden datasets through judge calibration, CI regression gating, and production monitoring.