Evals
A repeatable test set that scores an AI feature, so changes can be measured instead of guessed.
An eval is a set of inputs with a way to grade the outputs: exact checks, code, or a model as judge. Run it before changing a prompt, a model or a tool, and compare. Without evals, every model upgrade is a leap of faith.
Related terms
- LLM as judge: Using a model with a rubric to grade another model’s output.
- Hallucination: A fluent, confident answer that is false or not supported by the sources.
- Model routing and fallback: Sending each request to the model that fits it, and to another one when the first fails.
