Model Error

Noun · AI & Machine Learning

Definitions

  1. An error arising from model behavior, model execution, or model-based prediction rather than from ordinary application logic alone. Model errors may include invalid outputs, failed inference, misclassification, or unsupported content.

    In plain English: A problem caused by how the model behaves or runs.

    Example: "The alert distinguished model error from API timeout so on-call engineers could tell whether the issue was the provider or the application wrapper."

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