Hyperparameter

A hyperparameter is a setting chosen before training rather than learned from data, such as the learning rate, batch size, or number of layers. Hyperparameters shape how a model learns.

Hyperparameter sits in the Foundations part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.

Also called Hyperparameter tuning.