Fundamentals

What is Parameters?

The internal numbers a model learns during training; more can mean more capacity.

Parameters are the adjustable internal numbers a model learns during training — modern models can have billions.

More parameters can mean more capability, but also higher cost and slower inference, so bigger isn't always better.

Related terms

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