What does Human Preference Model mean? Definition | AI Understanding

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.

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.

Human-added labels or metadata used to train or evaluate machine learning models.

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See also

Guarded Decoding Inference Endpoint Groundedness Knowledge Base Feature Store Latent Space Eval Harness Model Registry

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