Temperature
What is Temperature?
In the context of AI, Temperature refers to a parameter that controls the randomness or creativity of an AI model's responses during text generation. Here's how it works:Low Temperature: When the temperature is set closer to 0 (e.g., 0.1), the model produces more deterministic and focused answers. It tends to pick the highest probability options and avoids taking creative risks. This is ideal for tasks requiring accuracy and consistency.
High Temperature: With a temperature closer to 1 or higher (e.g., 0.8 or 1.0), the model generates responses with more diversity and creativity. It explores less probable options, making answers more varied and imaginative, but possibly less consistent or predictable.
Adjusting the temperature allows users to tailor the model's behavior based on the specific task or preferences. For example, writing poetry or brainstorming ideas might benefit from higher temperatures, while answering factual questions typically works better with lower ones.
Related:
External links:
- What is LLM Temperature? | IBM —ibm.com
- Temperature is a parameter for adjusting the output of LLMs. Temperature controls the randomness or creativity generated by LLMs during inference
- Model selection and temperature settings | Microsoft Learn —microsoft.com
- Learn about the settings parameter in prompt builder.
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