AWS Certified AI Practitioner AIF-C01 Practice Question

A team asks an Amazon Bedrock large language model to write a one-paragraph summary of a 50-page technical manual. The result omits important domain terminology and feels generic. According to prompt-engineering best practices, which adjustment is most likely to improve the relevance of the model's next response?

  • Add a brief description of the manual's subject matter, target audience, and essential terms to the prompt before asking for the summary

  • Increase the top-k value so the model samples from a larger token set

  • Lower the temperature parameter from 0.8 to 0.2 to make the model less random

  • Introduce a stop sequence after 120 tokens to limit the response length

AWS Certified AI Practitioner AIF-C01
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