Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 34 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01

Question #: 34
Topic #: 1

[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

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?

A. Increase the temperature parameter and the top_k parameter.
B. Increase the temperature parameter. Decrease the top_k parameter.
C. Decrease the temperature parameter. Increase the top_k parameter.
D. Decrease the temperature parameter and the top_k parameter.

Show Suggested Answer

Suggested Answer: D 🗳️

by GiorgioGss at Nov. 27, 2024, 10:10 p.m.

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Saransundar

1 month, 2 weeks ago

Selected Answer: D

Lower temperature: High probable output Lower Top k : Focus on likely output

upvoted 3 times

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GiorgioGss

1 month, 3 weeks ago

Selected Answer: D

https://docs.aws.amazon.com/bedrock/latest/userguide/inference-parameters.html

upvoted 2 times

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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 34 discussion

Comments

Saransundar

GiorgioGss

SY0-701