AI Glossary Term

What is Human Preference Model?

Definition

A model trained on human rankings to predict which responses users are likely to prefer.

Related terms

Reinforcement Learning from Human Feedback (RLHF)
A training method that uses human preference signals to shape model behavior.
Human-in-the-Loop
A workflow where humans review, guide, or override AI outputs.
AGI (Artificial General Intelligence)
A hypothetical AI system that can perform most intellectual tasks at a human level across many domains.
AI Alignment
The work of making AI systems behave according to human intentions, values, and safety constraints.
Algorithmic Transparency
How clearly an AI system's logic, data sources, and limitations are documented and understandable.
Annotation
Human-added labels or metadata used to train or evaluate machine learning models.

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