Deterministic Output: The model tends to pick the most probable next word or token, leading to more predictable and repetitive results.
Example Use: Useful when you need the model to generate factual, consistent responses or when the output needs to be more focused and precise.
Behavior: The responses will generally be safer and more conservative.
Medium Temperature (e.g., 0.7):
Balanced Output: The model produces a mix of predictable and creative responses. It’s a good balance between creativity and consistency.
Example Use: Ideal for general-purpose tasks where you want some variation but still within reasonable bounds.
Behavior: The responses will have a moderate level of creativity without being too wild or too repetitive.
High Temperature (e.g., 1.3 or higher):
Creative and Random Output: The model will take more risks by choosing less probable next words or tokens, leading to more creative and varied responses.
Example Use: Useful for creative writing, brainstorming, or when you want the model to generate unexpected or novel ideas.
Behavior: The responses can be more diverse, with a higher chance of producing surprising, unconventional, or even nonsensical outputs.
How to Choose the Right Temperature:
Low Temperatures are best for tasks that require precision, like summarization or answering specific questions where accuracy is paramount.
Medium Temperatures are versatile and work well for most general tasks, offering a balance of creativity and predictability.
High Temperatures are great for creative tasks where you want the model to explore different possibilities or generate unique content.