Reward model

A reward model is a model trained to score outputs according to human or AI preferences. It supplies the feedback signal used to optimize a language model during reinforcement learning.

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

Also called Preference model.