Perplexity averages over the tokens a model finds easy and scores it on text it did not write. The answer builds the evaluation that catches what quantization actually breaks, and shows why a one-point drop on a benchmark can be noise or a real regression.
Updated Oct 2026 · Worked answers on inference mechanisms, with calculations, implementation details, and follow-up questions.
Perplexity averages over the tokens a model finds easy and scores it on text it did not write. The answer builds the evaluation that catches what quantization actually breaks, and shows why a one-point drop on a benchmark can be noise or a real regression.
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