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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.