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Temperature (AI)

Language models

Temperature is a setting that controls how much randomness goes into a language model's choice of words. Close to zero, the model almost always picks the most likely word and its answers are stable. The higher it goes, the more varied and creative the answers become, at the risk of drifting from the facts.

In practice at Gensai

Compliance chatbots designed by Gensai run at a low temperature to guarantee consistent answers, while storytelling experiences allow more variation.

Definition written with AI assistance, checked by Sébastien Lecocq, co-founder of Gensai.

Going beyond the definition?

From concept to project: Gensai builds custom, sovereign, GDPR-compliant AI solutions.

Related services: Chatbots and answer engines, Voice AI

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