Penalty

Noun · AI & Machine Learning

Definitions

  1. A cost or discouraging adjustment applied during optimization or generation to reduce unwanted behavior such as repetition, excessive length, or policy violations. Penalties are often tuned to balance output quality against control.

    In plain English: A scoring adjustment used to discourage some kind of model behavior.

    Example: "They increased the repetition penalty after the assistant started echoing the same disclaimer in every paragraph."

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