Trial Run

The process of recording and managing information about AI experiments, including datasets, models, hyperparameters, code versions, metrics, and outcomes to enable reproducibility and comparison.

A single execution of a benchmark used to measure and record a model or system's performance under defined conditions.

A structured experiment that compares prompt variants to measure their effects on AI system behavior, quality, or performance.

The ability to obtain consistent results using the same data, code, model parameters, and experimental setup.

An experimentation method that compares two variants under similar conditions to determine which performs better against predefined metrics.