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We quantized our AI judge. Here's exactly what broke.

This story is from 2026-10-10. It is preserved in the archive; the latest stories are on the live feed.

Our production judge — a small 1.7B model with a LoRA adapter that grades other AI outputs as pass / fail / insufficient_evidence (88.5% accuracy, ECE 0.072) — is cheap to run. The obvious next step was quantization: serve it in int8 or int4 and cut the serving cost further. Before flipping the swi…

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  1. 2026-10-10 00:06 · DEV Community — AI
    We quantized our AI judge. Here's exactly what broke.

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