AI glossary

Temperature

Summary

Temperature is a parameter that controls the randomness of answers: low makes them more predictable and consistent, high makes them more creative and varied.

Updated

What it is

When generating text, the model chooses among several possible continuations. Temperature adjusts how much it gambles: near 0 it picks the most likely one (stable answers), higher allows more diverse outputs.

Why it matters to an agency

For data and exact tasks (extracting, classifying), use a low temperature. For brainstorming or creative copy variants, raise it.

Example

Low temperature for a report with figures; high temperature to generate 10 headline ideas.

FAQ

Frequently asked questions

What value should I use?+

As a rule: low (0 to 0.3) for precision, medium/high (0.7 to 1) for creativity. Test with your case.