Temperature

In the context of AI models, particularly in natural language processing (NLP) models like GPT-3, the temperature setting is a parameter that controls the randomness or creativity of the generated text. It is a numerical value between 0 and 1, with a lower temperature resulting in more predictable and conservative responses, and a higher temperature leading to more diverse and imaginative responses. Temperature can be seen as a measure of how likely the model is to deviate from the most probable or common output, allowing for more varied and potentially more interesting text generation.