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Temperature

Temperature Effects:

  1. Low Temperature (e.g., 0.1):
    • 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.
  2. 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.
  3. 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.