1Z0-1127-25 Fundamentals of Large Language Models Practice Question
A user wants to use OCI Generative AI to generate marketing copy. They want the output to be more creative and varied. Which parameter should they adjust?
⚠ Common exam trap
Oracle often tests the misconception that increasing max_tokens or adjusting other parameters like top_p can substitute for temperature when the goal is to increase creativity, but only temperature directly controls randomness and diversity in token selection.
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
✓
Increase the temperature parameter.
Increasing the temperature parameter makes the model's output more random and diverse, which is ideal for creative tasks like generating marketing copy. A higher temperature (e.g., 0.7–1.0) increases the probability of sampling less likely tokens, leading to more varied and imaginative text. Setting temperature to 0 would make the output deterministic and repetitive, which is the opposite of what the user wants.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Set temperature to 0.
Why it's wrong here
Temperature 0 makes the model deterministic, always picking the most likely token, which reduces creativity and variety.
- ✓
Increase the temperature parameter.
Why this is correct
Higher temperature increases randomness, leading to more creative and varied text generation.
- ✗
Decrease the temperature parameter.
Why it's wrong here
Decreasing temperature makes the model more conservative and repetitive, reducing creativity.
- ✗
Increase the max_tokens parameter.
Why it's wrong here
Max_tokens controls response length, not creativity. Longer responses may still be repetitive if temperature is low.
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