Overgeneration

Noun · AI & Machine Learning

Definitions

  1. A failure mode where a model produces more content than necessary, continues beyond the desired stopping point, or adds unsupported elaboration. Overgeneration can hurt usability, raise cost, and increase the chance of hallucinated detail.

    In plain English: Generating more content than is needed or desired.

    Example: "The summary feature suffered from overgeneration until they tightened max token limits and added a clearer stopping instruction."

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