AI for QA / Quiz
Temperature, Sampling, and Repeatability
The dial that trades consistency for variety, and what it means for anyone who asserts on model output.
- Difficulty
- Medium
- Format
- Quiz
- Points
- 150
- Estimate
- 8 min
// MISSION BRIEF
Your Mission
Temperature and top_p decide whether the model plays it safe or takes chances, and testers sit on both sides of that dial: wanting diverse test data one hour, reproducible pipeline output the next. This quiz covers how sampling actually works and the assertions you can (and cannot) write against it.
// FIRST CONTACT
Battle teaser
What does the temperature setting actually do?
- ASets the emotional tone of the response
- BLimits the maximum output length
- CControls how long the model thinks before answering
- DReshapes the token probability distribution: low values concentrate on the most likely tokens, high values flatten it so less likely tokens get picked more often
Answers, scoring, hints, and the full battle stay sealed.
// SKILL TAGS
llm-fundamentalstemperaturesamplingreproducibility