AIF-C01 · Question #381
An AI practitioner is developing a prompt for large language models (LLMs) in Amazon Bedrock. The AI practitioner must ensure that the prompt works across all Amazon Bedrock LLMs. Which…
The correct answer is A. Maximum token count. Different large language models have varying maximum token limits, which affects how much input and output text a prompt can include, so prompts must account for these differences to work consistently across models.
Question
An AI practitioner is developing a prompt for large language models (LLMs) in Amazon Bedrock. The AI practitioner must ensure that the prompt works across all Amazon Bedrock LLMs. Which characteristic can differ across the LLMs?
Options
- AMaximum token count
- BOn-demand inference parameter support
- CThe ability to control model output randomness
- DCompatibility with Amazon Bedrock Guardrails
How the community answered
(27 responses)- A56% (15)
- B15% (4)
- C4% (1)
- D26% (7)
Explanation
Different large language models have varying maximum token limits, which affects how much input and output text a prompt can include, so prompts must account for these differences to work consistently across models.
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