C1000-185 practice question 6 of 35

You are tasked with optimizing a generative AI model’s output for a natural language generation task. Which of the following combinations of model parameters is most appropriate for encouraging creative and varied responses without sacrificing too much coherence?

Domain IBM Security Verify Governance Fundamentals

Answer options

A: Temperature = 0.7, Top-p = 0.4, Max tokens = 100, Frequency penalty = 0.9, Presence penalty = 0.3

B: Temperature = 1.2, Top-p = 1.0, Max tokens = 250, Frequency penalty = 0.3, Presence penalty = 0.2

C: Temperature = 0.5, Top-p = 0.9, Max tokens = 300, Frequency penalty = 0.8, Presence penalty = 0.7

D: Temperature = 1.5, Top-p = 0.8, Max tokens = 150, Frequency penalty = 0.5, Presence penalty = 0.6 Correct answer

Correct Answer:

D. Temperature = 1.5, Top-p = 0.8, Max tokens = 150, Frequency penalty = 0.5, Presence penalty = 0.6

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