Loss function

A loss function is a formula that measures how far a model's predictions are from the correct answers. Training aims to minimize this value by adjusting the model's parameters.

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

Also called Cost function, Objective function.