Microsoft Exam AI-900 Topic 5 Question 79 Discussion

Actual exam question for Microsoft's AI-900 exam

Question #: 79
Topic #: 5

[All AI-900 Questions]

What should you implement to identify hateful responses returned by a generative Al solution?

Aprompt engineering

Babuse monitoring

Ccontent filtering

Dfine-tuning

Show Suggested Answer

Suggested Answer: D

by Tresa at Oct 20, 2024, 10:29 AM

Limited Time Offer

25%

Off

Get Premium AI-900 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Linn

5 months ago

Content filtering? More like content censorship, am I right? We should be encouraging free expression, not stifling it!

upvoted 0 times

...

Eden

6 months ago

Fine-tuning, all the way. You can really hone the AI's responses to make sure they're on point and not crossing any lines.

upvoted 0 times

Lindsay

5 months ago

Prompt engineering is crucial to guide the AI in providing appropriate responses.

upvoted 0 times

...

Janey

5 months ago

Abuse monitoring can also be helpful in detecting any inappropriate content generated by the AI.

upvoted 0 times

...

Dudley

5 months ago

Fine-tuning is definitely important to identify and prevent hateful responses.

upvoted 0 times

...

Ronnie

6 months ago

I believe content filtering could also be useful in identifying hateful responses.

upvoted 0 times

...

Sina

6 months ago

I agree with Leota, abuse monitoring can help identify hateful responses.

upvoted 0 times

...

Teddy

6 months ago

Abuse monitoring is a must! You need to keep a close eye on what's coming out of that AI, and shut down any hateful nonsense right away.

upvoted 0 times

Wayne

5 months ago

D) fine-tuning

upvoted 0 times

...

Mila

5 months ago

C) content filtering

upvoted 0 times

...

Misty

5 months ago

B) abuse monitoring

upvoted 0 times

...

Micah

5 months ago

A) prompt engineering

upvoted 0 times

...

Leota

6 months ago

I think we should implement abuse monitoring.

upvoted 0 times

...

Cherelle

6 months ago

Prompt engineering, for sure. That way, you can train the AI to stay positive and avoid generating anything offensive in the first place.

upvoted 0 times

Phil

5 months ago

Fine-tuning the AI model can further refine its ability to avoid generating offensive content.

upvoted 0 times

...

Ernie

5 months ago

Content filtering is another useful tool to ensure only appropriate responses are generated.

upvoted 0 times

...

Lynda

5 months ago

Abuse monitoring could also help in identifying and filtering out any negative content.

upvoted 0 times

...

Jovita

5 months ago

Prompt engineering is definitely important to prevent hateful responses.

upvoted 0 times

...

Roxane

6 months ago

I think content filtering is the way to go. Gotta keep those hateful responses out of the system, you know?

upvoted 0 times

Teri

6 months ago

Prompt engineering might help guide the AI to generate more positive responses instead of hateful ones.

upvoted 0 times

...

Teddy

6 months ago

Abuse monitoring could also be useful to catch any inappropriate content before it's generated.

upvoted 0 times

...

Major

6 months ago

Content filtering is definitely important to weed out those hateful responses.

upvoted 0 times

...