Benchmark Run

An evaluation method that compares AI models on the same tasks, datasets, or metrics to identify differences in capabilities and performance.

An evaluation approach that continuously measures AI system performance throughout development and production to detect regressions and ensure quality.

An evaluation performed outside production using fixed datasets, test cases, or recorded interactions to assess an AI system before deployment.

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

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