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AWS Certified AI Practitioner AIF-C01 Practice Question

A developer is calling a large language model through Amazon Bedrock. The responses are useful but far longer than the application's chat window can display. Which inference parameter should the developer reduce to directly limit the length of each response?

  • Add additional stop sequences, such as common punctuation marks.

  • Decrease the temperature value used during sampling.

  • Reduce the Top-P (nucleus sampling) value.

  • Lower the maximum number of output tokens the model is allowed to generate.

AWS Certified AI Practitioner AIF-C01
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