Temperature
The setting that controls randomness in generation — low for consistency, high for variety.
Temperature reshapes the probability distribution over the next token. Near zero the model almost always picks its top choice, giving repeatable and conservative output. Higher values flatten the distribution and let unlikelier tokens through, which reads as creativity and, past a point, as nonsense.
In practice: Temperature 0 for data extraction; 0.8 for brainstorming taglines.