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MLA-C01 · Question #34

MLA-C01 Question #34: Real Exam Question with Answer & Explanation

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ML Model Development

Question

A company has a conversational AI assistant that sends requests through Amazon Bedrock to an Anthropic Claude large language model (LLM). Users report that when they ask similar questions multiple times, they sometimes receive different answers. An ML engineer needs to improve the responses to be more consistent and less random. Which solution will meet these requirements?

Options

  • AIncrease the temperature parameter and the top_k parameter.
  • BIncrease the temperature parameter. Decrease the top_k parameter.
  • CDecrease the temperature parameter. Increase the top_k parameter.
  • DDecrease the temperature parameter and the top_k parameter.

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Topics

#LLM parameters#Temperature parameter#Top_k parameter#Amazon Bedrock
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