A municipal after-school sign-out generator becomes repetitive once the team lowers temperature for more stable wording. What trade-off does a low temperature setting introduce?
Select an answer to reveal the explanation.
Short Explanation
Picture temperature like a spice dial — turn it way down and every plate tastes the same. Low temperature favors stable, predictable wording. The cost is less creativity and less diversity in what the model invents.
Full Explanation
When testers lower temperature to stabilize GenAI output, sampling becomes narrower and replies grow more repetitive. That trade-off is useful for consistent scripts or locators, but it is not free reproducibility and it does not replace verification. Teams choose temperature for the task, then still check results against the test basis.