nerdexam
Microsoft

DP-100 · Question #567

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 h

The correct answer is B. No. No, adjusting Frequency Penalty does not meet the goal of getting more creative responses. Frequency penalty (range: -2 to 2) penalizes tokens proportionally to how many times they have already appeared in the output - its purpose is to reduce repetition of the same words or phra

Optimize language models for AI applications

Question

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 have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen. You manage an Azure AI Foundry project in your subscription. You deploy a gpt-4o model. You must test the model before you use it in an existing front-end application. You need to adjust the parameters to get more creative responses. Solution: Adjust Frequency penalty. Does the solution meet the goal?

Options

  • AYes
  • BNo

How the community answered

(60 responses)
  • A
    10% (6)
  • B
    90% (54)

Explanation

No, adjusting Frequency Penalty does not meet the goal of getting more creative responses. Frequency penalty (range: -2 to 2) penalizes tokens proportionally to how many times they have already appeared in the output - its purpose is to reduce repetition of the same words or phrases. While reducing repetition can marginally affect output variety, it does not fundamentally drive creativity or novel ideation. The correct parameter for increasing creativity is Temperature. Frequency penalty is a repetition-reduction tool, not a creativity-enhancement tool.

Topics

#Generative AI parameters#Large Language Models#Model tuning#Azure AI Studio

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