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An HR assistant built on Bedrock starts giving imaginative but off-topic answers. The team wants more factual responses. What should they change?
Real Exam
Community
JJin
A
Decrease temperature
B
Increase top-p
C
Raise max-tokens
D
Disable stop-sequences
Explanation:
Explanation
Temperature controls the randomness/creativity of model outputs:
- Lower temperature: Makes the model more deterministic, focused, and factual
- Higher temperature: Increases creativity and randomness, which can lead to imaginative but potentially off-topic responses
Since the HR assistant is giving "imaginative but off-topic answers," the team needs to make it more factual by decreasing the temperature. Option A is correct because:
- Lower temperature reduces randomness in token selection
- The model becomes more focused on the most probable next tokens
- This results in more predictable, factual, and on-topic responses
Why other options are incorrect:
- B: Increasing top-p (nucleus sampling) would actually increase diversity by considering a broader set of tokens
- C: Raising max-tokens only increases response length, not factual accuracy
- D: Disabling stop-sequences would allow responses to continue indefinitely, not improve factual accuracy
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