Lesson 1972 of 2116
Temperature and Sampling: What They Control and Don't
Sampling settings shape variety; they don't fix accuracy.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2temperature
- 3top-p
- 4sampling
Concept cluster
Terms to connect while reading
Section 1
The premise
Lowering temperature makes outputs more deterministic but not necessarily more correct. Use sampling to control variety, not to fix bad prompts.
What AI does well here
- Produce more deterministic outputs at low temperature.
- Produce more varied outputs at higher temperature.
What AI cannot do
- Become accurate just by lowering temperature.
- Match exact outputs across runs even at temperature 0 in all setups.
Key terms in this lesson
End-of-lesson quiz
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