Definition
What is an AI benchmark
An AI benchmark is a held-out collection of tasks and scoring rules used to measure model capability over time. A useful expert benchmark is representative of real failures and is not used as training data for the same measurement.
What is ai benchmark?
An AI benchmark is a held-out collection of tasks and scoring rules used to measure model capability over time. A useful expert benchmark is representative of real failures and is not used as training data for the same measurement.
Why it matters
Without a held-out key, teams optimize for whatever they can see in the training mix.
Example
A coding benchmark of repository tasks with hidden tests plus a human maintainability score.
When it is used
You need a stable comparison across model versions or vendors.
Common mistakes
- Contamination from public item leakage
- Items that are hard for people but easy for models, or the reverse, without saying so
- No refresh after product change
What kind of experts do you need?
Share the profession, specialty, experience, location, headcount, hours, duration, and project description. We assemble the expert capacity.
- Need 25 licensed nurses for a clinical AI evaluation
- Need 15 attorneys in a specific practice area
- Need 20 PhD scientists for benchmark creation
- Need 30 senior software engineers for code evaluation