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What is temperature in an LLM?

Interview Q&A card: What is temperature in an LLM? Temperature is a setting that controls how random the model’s word choices are. Low (near 0) = more focused and repeatable. High (around 1 or more) = more varied and creative, but more chance of mistakes.

Interview Q&A card: What is temperature in an LLM? Temperature is a setting that controls how random the model’s word choices are. Low (near 0) = more focused and repeatable. High (around 1 or more) = more varied and creative, but more chance of mistakes.
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Interview Q&A card: What is temperature in an LLM? Temperature is a setting that controls how random the model’s word choices are. Low (near 0) = more focused and repeatable. High (around 1 or more) = more varied and creative, but more chance of mistakes.

Learn this in the lesson: Your First OpenAI and Gemini API Call in Python (Free Key Setup)

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