GenAI Basics · Question 9 · Medium
Setting the sampling temperature of an LLM close to 0 typically makes its output:
- More deterministic, consistently choosing the most likely tokens
- More random and creative
- Much longer
- In a different language
Answer and explanation
Answer: A. More deterministic, consistently choosing the most likely tokens
Explanation: Temperature scales the probability distribution over the next token. A low temperature concentrates probability on the top tokens, which gives focused, repeatable output; a high temperature increases diversity.
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