Temperature is a parameter that controls the level of creativity and randomness in
generative AI responses. A high temperature (close to 1) produces more creative and varied responses, while a low temperature (close to 0) generates more conservative and predictable responses.
Think of temperature as the AI's "daring level". With a low temperature, the AI is like a student who always chooses the safest and most likely answer, perfect for tasks requiring precision like mathematical calculations or factual responses.
On the other hand, with a high temperature, the AI becomes more "adventurous" and creative, like an artist experimenting with new ideas. For example, if you ask it to write a story with high temperature, it might create more surprising and unexpected plots. However, this also increases the risk of less coherent or precise responses.
Temperature adjustment is primarily available through APIs for developers, while web interfaces for end users typically maintain preset optimized configurations. In practical applications, developers adjust the temperature according to use: low for customer service
chatbots and technical assistants, and high for creative applications such as story writing and idea generation.