84How do you design an offline LLM eval harness so the numbers are reproducible and comparable?▼mediumHugging FaceOpenAIMicrosoft2 replies◆ premiumThe same model can score ten points apart on MMLU depending on prompt format and scoring method. The signal is knowing the knobs (log-prob vs generation, few-shot, normalization) that make evals reproducible.Open full answer →
39How do you build an evaluation harness that runs in CI to gate every model change?▼hardOpenAIAnthropicDatabricks1 replies◆ premiumA green build still means nothing for model quality. The signal is an eval harness that runs deterministically in CI, compares against a frozen baseline, and blocks the merge on regressions. Here is how to make it fast, stable, and trusted.Open full answer →
