Glossary · Foundations
Optimizer
An optimizer is the algorithm that decides how to update a model's parameters from computed gradients during training. Common examples include stochastic gradient descent and Adam.
Optimizer sits in the Foundations part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.
Also called Optimization algorithm.