Non-Deterministic Output

Noun · AI & Machine Learning

Definitions

  1. Output that can vary across repeated runs even when the same input is used, often because of sampling, temperature, system changes, or distributed execution details. Non-deterministic output complicates testing and reproducibility.

    In plain English: Output that can change from run to run even with the same input.

    Example: "They locked down settings for compliance workflows because non-deterministic output made review and audit trails much harder."

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