Eval — Model Evaluation
Definition: The systematic testing of an AI model's outputs against expected behavior — accuracy, safety, format adherence, regression. Without evals, every prompt change is a vibe-based deploy.
Example
In AI strategy reviews, you'll often hear something like: "Let's pull the latest Eval numbers before we make a call" — shorthand for model evaluation.
When you'll hear it
Eval shows up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. When someone uses it, they're usually referring to model evaluation — and they expect the room to already know what that means.
FAQs
What does Eval stand for?
Eval stands for Model Evaluation.
What does Eval mean in AI and machine-learning?
The systematic testing of an AI model's outputs against expected behavior — accuracy, safety, format adherence, regression. Without evals, every prompt change is a vibe-based deploy.
Where will I hear Eval used at work?
Eval comes up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. It's used as shorthand for model evaluation, so people assume you already know the term.
Related terms
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