Grid Search

The process of selecting and adjusting the hyperparameters of an AI model or system through controlled experiments to identify the configuration that delivers the best performance according to one or more evaluation metrics.

An optimization technique that evaluates randomly selected hyperparameter configurations from a defined search space.

An optimization method that uses probabilistic models to efficiently identify promising parameter configurations with minimal evaluation runs.

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

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