Generative AI Leader Practice Question: The primary purpose of the temperature parameter…

What is the primary purpose of the temperature parameter when generating text with an LLM?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

It controls the randomness or creativity of the output

Temperature controls the randomness of token selection. Higher temperature increases creativity, lower temperature makes outputs more deterministic.

Answer analysis

For each option: why learners choose it and why it is or isn't the right answer here.

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It sets the maximum number of tokens in the response
Why it's wrong here
Max tokens controls length, not randomness.
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It controls the randomness or creativity of the output
Why this is correct
Temperature scales the logits before sampling; higher values produce more diverse outputs.
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It determines the number of most likely tokens considered at each step
Why it's wrong here
That is the top-k parameter.
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It sets the cumulative probability threshold for token selection
Why it's wrong here
That is the top-p (nucleus sampling) parameter.

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