Glossary · Term

perplexity

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Definition

Plain language

A score for how surprised a model is by text it's reading — lower means it expected what it saw.

As stated in the literature

The exponential of average per-token cross-entropy under a model, a standard measure of language modeling quality where lower is better.

Why it matters: It's the canonical scalar for language modeling quality and tracks improvements during pretraining at fine resolution.

For example, a perplexity of 8 means the model is on average as surprised as if it were choosing uniformly among 8 equally likely next tokens.

Heard on the show

“Second diagnostic is a perplexity probe.”
Episode 011 — When RL Actually Teaches Agents Something New, And When It Doesn't

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