Amazon Exam AIF-C01 Topic 5 Question 9 Discussion

Actual exam question for Amazon's AIF-C01 exam

Question #: 9
Topic #: 5

A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company wants to classify the sentiment of text passages as positive or negative.

Which prompt engineering strategy meets these requirements?

AProvide examples of text passages with corresponding positive or negative labels in the prompt followed by the new text passage to be classified.

BProvide a detailed explanation of sentiment analysis and how LLMs work in the prompt.

CProvide the new text passage to be classified without any additional context or examples.

DProvide the new text passage with a few examples of unrelated tasks, such as text summarization or question answering.

Show Suggested Answer

Suggested Answer: A

by Elena at Sep 17, 2024, 10:45 PM

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Willie

29 days ago

Option F: Feed the LLM a diet of positive and negative emojis. It'll be the most efficient sentiment analysis tool ever!

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Arlean

1 months ago

Option D? Really? Mixing in other tasks is just going to confuse the poor thing. Keep it simple, people!

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Crista

1 months ago

C'mon, we're not writing a novel here. Just throw the new text at the LLM and let it figure it out! Option C all the way.

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Celestina

16 hours ago

I agree, just give the LLM the text and let it do its thing.

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2 months ago

I think option A is the best strategy.

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