AI Systems

Model Evaluation, explained

Model evaluation measures whether a model performs well enough for a task, workflow, or deployment setting.
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Part of the Semantic Notion technical glossary.

Short Definition

Model evaluation measures whether a model performs well enough for a task, workflow, or deployment setting.

Intuition

Evaluation is how you stop arguing about whether a model feels good and start measuring whether it works.

Technical Definition

Model evaluation combines datasets, metrics, rubrics, human review, adversarial cases, and production monitoring to estimate model quality and risk.

Example

A RAG system may be evaluated on answer correctness, citation support, refusal behavior, and latency.

Common Misunderstandings

A leaderboard score is not a complete evaluation for your product.
Evaluation should match the workflow and user risk.

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