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

2 months 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

2 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

2 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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Valentine

14 days ago

Let's trust the LLM to classify the sentiment accurately with just the text.

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Mila

17 days ago

Exactly, keeping it simple with option C is the way to go.

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Verdell

18 days ago

Yeah, no need to complicate things with extra examples or explanations.

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Celestina

19 days ago

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

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Queen

2 months ago

I agree, Option A is the most straightforward approach. Who wants to read a lengthy explanation when you can just give some examples?

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Long

20 days ago

I think providing examples with corresponding labels is the most effective strategy for sentiment analysis.

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Jarod

21 days ago

I agree, examples are much more helpful than a long explanation.

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Gertude

1 months ago

Option A is definitely the way to go. Examples make it so much easier to understand.

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Royal

2 months ago

Option A seems like the way to go. Providing example text passages with labels should help the LLM understand the task better.

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Gerry

25 days ago

User 3: Definitely. It's important to give the model context to understand the task.

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Refugia

26 days ago

User 2: I agree. It will provide clear guidance for sentiment analysis.

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Markus

28 days ago

User 1: Option A seems like the best choice. Giving examples with labels will help the LLM learn.

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Wayne

2 months ago

I prefer option B. Understanding how LLMs work is crucial for accurate sentiment analysis.

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Celia

2 months ago

I agree with Filiberto. Providing examples will help the model learn better.

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Filiberto

3 months ago

I think option A is the best strategy.

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