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ModelsIntermediate2018

Temperature

Temperature

Temperature is a setting that controls how predictable or varied an AI model’s response is.

Explained simply

Temperature is a setting that controls how predictable or varied an AI model’s response is.

1Model choices
2Temperature setting
3More fixed or varied
4Response style

At a glance

Category
Models
Difficulty
Intermediate
Introduced
2018

Real example

A low temperature gives a consistent factual answer; a higher temperature may produce more varied ideas.

Why it matters

It helps you control whether you want dependable consistency or more creative variety.

Timeline

Origins

The ideas behind Temperature begin developing.

2018

Temperature becomes a recognised term or technique.

Wider use

Research and practical applications increase.

Modern AI

Temperature becomes connected to newer AI systems and products.

Today

Temperature remains relevant in the models area of AI.

Dates for broad concepts may describe the period when the idea emerged or became widely used, rather than one exact invention date.

Learn next

Simple infographic

A quick visual way to understand Temperature.

1Model choices
2Temperature setting
3More fixed or varied
4Response style
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