Temperature affects the randomness of the model’s output. A higher temperature (e.g., 0.8) makes the output more diverse and creative, while a lower temperature (e.g., 0.2) makes it more deterministic.

Use higher temperatures for creative tasks and lower ones for factual or specific inquiries. The key is to find a middle ground where the AI is neither too predictable nor too eratic in its responses.

Begin with the model’s default temperature setting and adjust based on the results. Don’t hesitate to try different settings to see which one gives the best results for your needs.