holdout set
A holdout set is reserved for evaluating behavior beyond the examples used for development.
Use this when An AI change needs evidence of generalization beyond its demonstrations.
without the term
“I keep tuning the prompt on the same ten examples and it looks great. How do I know it'll work on stuff it hasn't seen?”
with the term · How do you ask a model for holdout set?
Create a holdout for this evaluation, grouped by the relevant user or time boundary. Verify development examples cannot leak into it.
What is holdout set?
Holdout examples are kept out of prompt tuning and are checked only occasionally. Inspecting and tuning against them repeatedly turns them into training examples.
Why does holdout set matter when vibe coding?
A score can reflect memorized examples or leaked related records.
How do you do holdout set?
Choose a split that matches deployment and protect it from iterative tuning.
What goes wrong with holdout set?
Calling a repeatedly inspected and optimized set an untouched holdout.