Amazon Exam AIF-C01 Topic 2 Question 17 Discussion

Actual exam question for Amazon's AIF-C01 exam

Question #: 17
Topic #: 2

An accounting firm wants to implement a large language model (LLM) to automate document processing. The firm must proceed responsibly to avoid potential harms.

What should the firm do when developing and deploying the LLM? (Select TWO.)

AInclude fairness metrics for model evaluation.

BAdjust the temperature parameter of the model.

CModify the training data to mitigate bias.

DAvoid overfitting on the training data.

EApply prompt engineering techniques.

Show Suggested Answer

Suggested Answer: B

by Simona at Jan 11, 2025, 10:23 AM

Limited Time Offer

25%

Off

Get Premium AIF-C01 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Jaime

28 days ago

Adjusting the temperature parameter? Is this model going to be serving up hot takes or crunching numbers?

upvoted 0 times

Ahmad

18 days ago

Implement safeguards to prevent bias and misinformation.

upvoted 0 times

...

Katie

19 days ago

Ensure the LLM is trained on diverse and representative data.

upvoted 0 times

...

Lynna

1 months ago

Prompt engineering, huh? Sounds like they're trying to train the model to be a poet. As long as it can crunch those numbers, I'm good.

upvoted 0 times

Bernardine

2 days ago

C) Modify the training data to mitigate bias.

upvoted 0 times

...

Jeannetta

22 days ago

A) Include fairness metrics for model evaluation.

upvoted 0 times

...

Andra

2 months ago

I believe modifying the training data to mitigate bias is also crucial in this case.

upvoted 0 times

...

Lili

2 months ago

Whoa, hold up! Modifying the training data? Isn't that like cheating on your homework? I hope they know what they're doing.

upvoted 0 times

Kelvin

26 days ago

E) Apply prompt engineering techniques.

upvoted 0 times

...

Valentin

29 days ago

C) Modify the training data to mitigate bias.

upvoted 0 times

...

Mirta

1 months ago

A) Include fairness metrics for model evaluation.

upvoted 0 times

...

Raina

2 months ago

Adjusting the temperature parameter? What is this, a cooking class? I'd rather they focus on avoiding overfitting and applying prompt engineering.

upvoted 0 times

...

Tiara

2 months ago

Definitely need to include fairness metrics and modify the training data. Bias is a big concern with these models, so they gotta do it right.

upvoted 0 times

...

Tayna

2 months ago

I agree with Aimee. It's important to ensure the model is fair and unbiased.

upvoted 0 times

...

Aimee

2 months ago

I think the firm should include fairness metrics for model evaluation.

upvoted 0 times

...