DP-100 · Question #566
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might…
The correct answer is A. Yes. Yes, increasing Temperature meets the goal. Temperature is the primary parameter that controls randomness and creativity in a language model's output. It ranges from 0 to 2 (in most Azure OpenAI configurations). A low temperature (near 0) produces deterministic, focused, and…
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Options
- AYes
- BNo
How the community answered
(41 responses)- A93% (38)
- B7% (3)
Explanation
Yes, increasing Temperature meets the goal. Temperature is the primary parameter that controls randomness and creativity in a language model's output. It ranges from 0 to 2 (in most Azure OpenAI configurations). A low temperature (near 0) produces deterministic, focused, and repetitive responses. A high temperature (near 2) produces more varied, surprising, and creative responses by flattening the probability distribution over possible next tokens, making less likely tokens more probable. This is the correct and direct way to get more creative responses from a deployed model in Azure AI Foundry.
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