Model Alignment

Noun · AI & Machine Learning

Definitions

  1. The extent to which a model's behavior matches intended goals, human values, policy constraints, or task requirements. Model alignment is a broad concern spanning safety, steerability, and usefulness.

    In plain English: How well a model's behavior matches the goals and rules people want it to follow.

    Example: "They treated refusal quality as part of model alignment because the assistant needed to decline unsafe requests without becoming unusably restrictive."

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