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01The Big Picture02Model Architectures03How Models Learn04How Models Run05Getting Models to Act06Language & Perception07Measuring Models08Safety & Alignment09Hardware & Infrastructure10Version Control11The Command Line12Databases & SQL13Environments & Packaging14Shipping & Collaboration15The Workbench
07 · Measuring Models

Perplexity

How “surprised” a model is

AdvOperators

A technical measure of how surprised a model is by text — lower means it predicts better. Used in development; less meaningful to end users than task benchmarks.

Concrete example

A research metric you'll see in training papers, rarely in product marketing.

Nearby in Measuring Models

MMLUMassive Multitask Language UnderstandingModel CardDocumentation for a model release
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