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How do you design an offline LLM eval harness so the numbers are reproducible and comparable?

The 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.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

The 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.

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