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Answer: Increase the temperature to around 0.9 to encourage creative variation
## Explanation When using Amazon Bedrock for text generation, the **temperature** parameter controls the randomness and creativity of the outputs: - **Lower temperature (e.g., 0.2)**: Produces more deterministic, focused, and repetitive outputs - **Higher temperature (e.g., 0.9)**: Increases randomness and encourages more creative, diverse variations Since the marketing agency is experiencing **repetitive outputs lacking originality**, they need to **increase the temperature** to introduce more variation and creativity into the generated brand-tagline ideas. **Other options explained:** - **Option A (Lower temperature)**: Would make outputs even more repetitive and deterministic - **Option C (Reduce top-p)**: Top-p (nucleus sampling) controls vocabulary diversity, but reducing it would limit word choices rather than increase creativity - **Option D (Stop sequences)**: Controls output length but doesn't address the creativity issue The correct approach is **Option B** - increasing the temperature to around 0.9 to encourage more creative and varied outputs.
Author: Ritesh Yadav
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A marketing agency is using Amazon Bedrock to generate brand-tagline ideas. The outputs feel repetitive and lack originality. What adjustment should the data-science team make?
A
Lower the temperature to 0.2 for more precise outputs
B
Increase the temperature to around 0.9 to encourage creative variation
C
Reduce the top-p to 0.3 to increase determinism
D
Add stop sequences to control token length
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