1Z0-1127-25 Prompt Engineering Practice Question
In OCI Generative AI, when using the Cohere Command model, which parameter is used to discourage the model from repeating the same phrases?
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
✓
frequency_penalty
Frequency penalty reduces the likelihood of tokens that have already appeared, directly targeting repetition of phrases.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
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presence_penalty
Why it's wrong here
Presence penalty penalizes tokens that have appeared at least once, encouraging new topics but not as strong against repeated phrases.
- ✓
frequency_penalty
Why this is correct
Frequency penalty applies a penalty proportional to token frequency, reducing repetition.
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temperature
Why it's wrong here
Temperature controls randomness, not repetition.
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top-k
Why it's wrong here
Top-k limits token choices to the top k, which does not specifically address repetition.
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