Amazon Exam AIF-C01 Topic 1 Question 11 Discussion

Actual exam question for Amazon's AIF-C01 exam

Question #: 11
Topic #: 1

A company wants to make a chatbot to help customers. The chatbot will help solve technical problems without human intervention. The company chose a foundation model (FM) for the chatbot. The chatbot needs to produce responses that adhere to company tone.

Which solution meets these requirements?

ASet a low limit on the number of tokens the FM can produce.

BUse batch inferencing to process detailed responses.

CExperiment and refine the prompt until the FM produces the desired responses.

DDefine a higher number for the temperature parameter.

Show Suggested Answer

Suggested Answer: C

by Denise at Sep 13, 2024, 02:37 AM

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Micaela

2 months ago

D) Definitely want to crank up that temperature! Nothing like a little spice to liven up the conversation.

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Yoko

2 months ago

Haha, 'higher temperature parameter'? Sounds like we're cooking up some hot takes here!

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Ena

15 days ago

D: Yeah, setting a low limit on the number of tokens might restrict the chatbot too much.

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Lonny

23 days ago

C: We can always experiment and refine the prompt if needed.

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Ivory

1 months ago

B: Agreed, that will help the chatbot produce more creative responses.

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Bong

1 months ago

A: Let's go with option D, define a higher number for the temperature parameter.

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Juan

2 months ago

But wouldn't setting a low limit on the number of tokens like in A) also help maintain the company tone?

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Carma

2 months ago

I disagree, I believe D) Define a higher number for the temperature parameter would be more effective.

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Quentin

2 months ago

A) Limiting the tokens? That's like trying to fit an elephant in a shoebox. Not very practical.

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Truman

2 months ago

B) Use batch inferencing to process detailed responses.

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Armanda

2 months ago

C) Experiment and refine the prompt until the FM produces the desired responses.

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Merilyn

2 months ago

A) Limiting the tokens? That's like trying to fit an elephant in a shoebox. Not very practical.

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Juan

2 months ago

I think the best solution is C) Experiment and refine the prompt until the FM produces the desired responses.

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Dorathy

3 months ago

B) Batch inferencing sounds like a good idea. More detailed responses are better than short, generic ones.

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Jesus

3 months ago

C) Experimenting with the prompt is the way to go. You can fine-tune the chatbot to get the desired tone and responses. Plus, it's more fun than just setting arbitrary limits!

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