Evaluation & Quality
Validation set
Data used during development to tune choices without training directly on the final test set.
Example
Engineers use validation results to choose settings without looking at the final test set.
Why it matters
It helps developers compare options without spending their final independent test too early.
You'll hear it
“This setting looked better on the development checks.”
Can you control it?
Set by the team
The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.
Common questions
- Does good validation performance guarantee future success?
- No. Repeated choices can become too tailored to the examples used for comparison.
- Must the validation examples resemble real use?
- Yes. Otherwise, the chosen settings may favor behavior that is unhelpful in practice.
- Is the validation set normally used like the teaching examples?
- No. It guides development choices rather than directly supplying ordinary learning updates.