{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Reward Model — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"

AI Glossary — gaks.ai

Reward Model

A model trained to predict how much a human would prefer a given output, assigning a scalar reward score that captures human judgment about quality, helpfulness, or safety. Reward models are central to reinforcement learning from human feedback, translating human preferences into a signal that can be used to fine-tune language models, acting as a proxy for human evaluation at scale.

Source: gaks.ai/glossary/reward-model →
"}