AI Glossary
Temperature
Understanding AI Terminology
A setting that controls how random or creative an AI model's responses are.
What It Means
Temperature is a parameter that controls the randomness of AI model outputs. Lower temperatures (0-0.3) produce more focused, deterministic, and predictable responses. Higher temperatures (0.7-1.0+) increase creativity, variety, and randomness. The optimal temperature depends on the task: use low temperatures for factual queries and high temperatures for creative writing.
Examples
- Temperature 0 gives the most likely response every time
- Temperature 0.7 is good for creative writing
- Temperature 1.0+ produces more experimental outputs
How This Applies to ARKA-AI
ARKA-AI's ARKAbrain automatically adjusts temperature based on the task type, optimizing for accuracy or creativity as appropriate.
Frequently Asked Questions
Common questions about Temperature
For factual questions, code, or data analysis, use 0-0.3. For creative writing, brainstorming, or variety, use 0.7-1.0. ARKA-AI handles this automatically.
Both control randomness differently. Temperature scales the probability distribution, while top-p (nucleus sampling) limits which tokens can be selected. They're often used together.
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