Sampling Temperature is a model parameter that controls how predictable or creative AI-generated responses are. Lower values produce more consistent outputs, while higher values increase response diversity.
Voice AI platforms tune Sampling Temperature based on the use case. Customer support typically uses lower temperatures for reliable answers, while creative applications may use higher values for more varied responses.