Reproducibility
The ability to obtain consistent results using the same data, code, model parameters, and experimental setup.
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Related terms
The process of recording and managing information about AI experiments, including datasets, models, hyperparameters, code versions, metrics, and outcomes to enable reproducibility and comparison.
Benchmark RunA single execution of a benchmark used to measure and record a model or system's performance under defined conditions.
Experimental ControlThe practice of keeping variables, conditions, and procedures consistent across experiments so that observed differences in outcomes can be attributed to the factors being tested.
Statistical SignificanceA mathematical determination that an observed experimental result is likely caused by a specific factor rather than random chance.
Prompt ExperimentA structured experiment that compares prompt variants to measure their effects on AI system behavior, quality, or performance.