easy5 pts · first answer countssamplingllm-basics

Effect of temperature

What happens when you increase the sampling temperature of an LLM?

A.The model becomes more factually accurateB.The response always gets shorterC.The model uses more GPU memoryD.Output becomes more random and varied, because lower-probability tokens get picked more often

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Effect of temperature

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