AI Basics
Non-Deterministic Output
Output that may vary across runs under an apparently identical request. This is the output-focused application of Non-Deterministic, not a separate learning method. Sampling, runtime behavior or hidden changes in dependencies can affect repeatability; controlled observations are needed before claiming either reproducibility or a particular cause of variation.
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