Temperature
Temperature is a parameter that controls the randomness and creativity of text generated by an autoregressive language model during inference. Higher values increase randomness, while lower values make outputs more deterministic.
Frequently Asked Questions
What happens at Temperature = 0?▼
The model becomes deterministic, choosing the single most probable word token at every step (greedy decoding).
When should you use a high temperature?▼
During creative writing tasks, brainstorming sessions, or scenario generation where diverse outputs are desired.
Quick Facts
- CategoryModel Operations
- Key ApplicationResponse tuning, generation formatting control, and brainstorming triggers
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