Learning rate

The learning rate is a hyperparameter that sets how large each parameter update is during training. Too high a value can make training unstable, while too low a value makes it slow.

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

Also called Step size.