1Z0-1127-25 OCI Generative AI Service Practice Question
A data scientist is using the OCI Generative AI Playground to test a model for a text generation task. They want to control the output to be more focused and avoid repeating the same phrases. Which THREE parameter adjustments should they consider?
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 presence penalty
Temperature controls randomness; frequency penalty reduces repetition of words/phrases; presence penalty encourages new topics.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Increase the presence penalty
Why this is correct
Encourages the model to talk about new topics, reducing repetition.
- ✗
Increase the temperature
Why it's wrong here
Higher temperature increases randomness, not focus.
- ✗
Increase the max tokens
Why it's wrong here
Max tokens only limits length, does not control repetition.
- ✓
Increase the frequency penalty
Why this is correct
Reduces repetition of phrases.
- ✓
Decrease the temperature
Why this is correct
Lower temperature makes output more deterministic and focused.
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