Temperature (AI) design pattern - Temperature controls AI randomness. Learn when to use low vs high temperature for factual or creative outputs.

What is Temperature (AI)?

Temperature controls how random or creative the AI is. Temperature=0: deterministic, always picks most likely word (same input = same output). Temperature=1: creative, picks from many options (different outputs each time). Scale: 0.0 to 2.0, default usually 0.7-1.0. Low temperature (0-0.3) for facts, code, consistent outputs. High temperature (0.7-1.5) for creative writing, brainstorming, variety. Single most important parameter to tune.

When Should You Use This?

Use low temperature (0-0.3) for: factual tasks, code generation, data extraction, consistent outputs, customer support. Use high temperature (0.7-1.5) for: creative writing, brainstorming, marketing copy, when you want variety. Start at 0.7 (default), adjust based on results. Temperature=0 for production systems where consistency matters. Temperature=1+ for idea generation.

Common Mistakes to Avoid

  • Always using default—tune temperature for your task, huge quality impact
  • Too high for facts—Temperature=1.5 makes AI hallucinate more
  • Too low for creativity—Temperature=0 gives boring, repetitive creative writing
  • Not testing—small changes (0.7 → 0.3) can dramatically change output
  • Confusing with randomness—low temperature isn't "less smart," it's more consistent

Real-World Examples

  • Code generation: Temperature=0 for consistent, correct code
  • Customer support: Temperature=0.3 for accurate, reliable responses
  • Marketing copy: Temperature=0.9 for creative, varied headlines
  • Brainstorming: Temperature=1.2 for wild, diverse ideas

Category

Ai Vocabulary

Tags

temperatureai-parameterscreativity-controlrandomnessllm-tuning

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