
Answer-first summary for fast verification
Answer: Raise temperature to 0.9
## Explanation **Temperature** is a parameter that controls the randomness and creativity of AI model outputs: - **Lower temperature (e.g., 0.2)**: Makes outputs more deterministic, focused, and consistent - this would make captions even more similar - **Higher temperature (e.g., 0.9)**: Increases randomness and creativity, leading to more diverse and unique outputs **Why the other options are incorrect:** - **Option A (Lower temperature to 0.2)**: This would make outputs even more similar and less creative - **Option C (Reduce max-tokens to 50)**: This limits the length of the output but doesn't affect creativity or uniqueness - **Option D (Set stop-sequence to "End of post")**: This controls when the model stops generating text, not the creativity level **Amazon Bedrock Context:** Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies. When using Bedrock's text generation models, adjusting the temperature parameter is the correct way to control the creativity and uniqueness of outputs.
Author: Ritesh Yadav
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A social-media company uses Amazon Bedrock to draft unique post captions. The current outputs are too similar. What parameter should the team adjust?
A
Lower temperature to 0.2
B
Raise temperature to 0.9
C
Reduce max-tokens to 50
D
Set stop-sequence to "End of post"
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