What effect does a high "Temperature" setting generally have on a generative AI model's output?

A high "Temperature" setting in a generative AI model is designed to introduce more randomness into the output. When the temperature is increased, the model becomes less deterministic, allowing it to sample from a wider range of possibilities. This leads to outputs that are more diverse and creative, often resulting in unexpected or novel ideas that may not follow a structured or highly coherent format.

In contrast, lower temperature settings encourage the model to generate responses that are more consistent and coherent, as the model becomes more likely to select higher probability options rather than exploring a broader range of potential outputs. Therefore, a high temperature value effectively balances creativity and variability, promoting a richness in the generated content that can be particularly useful in creative writing, brainstorming, and exploring different concepts.