Temperature adjusts next-token probabilities derived from model scores. Lower values concentrate probability on top candidates; higher values give alternatives more chance.
The demo compares distributions over the same options at low and high settings. Higher temperature does not imply more factual answers, and other sampling controls also matter.
When to use
Use it when tuning the balance between varied and consistent outputs.