Model Temperature
Noun · AI & Machine Learning
Definitions
The temperature setting applied during generation to make output more deterministic or more varied. Higher temperature generally increases randomness, while lower temperature encourages more predictable choices.
In plain English: The setting that controls how random or predictable generated output is.
Example: "They lowered model temperature for the refund assistant because the task required consistency, not creativity."