Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

Dell EMC D-GAI-F-01 Exam - Topic 3 Question 19 Discussion

Actual exam question for Dell EMC's D-GAI-F-01 exam
Question #: 19
Topic #: 3
[All D-GAI-F-01 Questions]

A company is considering using deep neural networks in its LLMs.

What is one of the key benefits of doing so?

Show Suggested Answer Hide Answer
Suggested Answer: A

Governance in Generative AI involves several key aspects, among which transparency is crucial. Transparency in AI governance refers to the clarity and openness regarding how AI systems operate, the data they use, the decision-making processes they employ, and the way they are developed and deployed. It ensures that stakeholders understand AI processes and can trust the outcomes produced by AI systems.

The Official Dell GenAI Foundations Achievement document likely emphasizes the importance of transparency as part of ethical AI governance. It would discuss the need for clear communication about AI operations to build trust and ensure accountability1. Additionally, transparency is a foundational element in addressing ethical considerations, reducing bias, and ensuring that AI systems are used responsibly2.

User interface design (Option OB), speed of deployment (Option OC), and cost efficiency (Option OD) are important factors in the development and implementation of AI systems but are not specifically governance aspects. Governance focuses on the overarching principles and practices that guide the ethical and responsible use of AI, making transparency the key aspect in this context.


Contribute your Thoughts:

0/2000 characters
Kris
4 months ago
Easier to understand? I doubt that!
upvoted 0 times
...
Jutta
5 months ago
Less data needed is a big win too!
upvoted 0 times
...
Alline
5 months ago
Wait, are they really cheaper to run? Not so sure about that.
upvoted 0 times
...
Beatriz
5 months ago
Totally agree, that's a major plus.
upvoted 0 times
...
Maxima
5 months ago
They can handle more complicated problems!
upvoted 0 times
...
Glen
6 months ago
I remember we talked about how deep neural networks are complex, so I'm not sure if they are easier to understand. That seems off to me.
upvoted 0 times
...
Madonna
6 months ago
I feel like we practiced a question similar to this, and I think the answer was about them being cheaper to run. But I'm not completely confident.
upvoted 0 times
...
Jennifer
6 months ago
I'm not entirely sure, but I remember something about them requiring less data compared to traditional models. That could be a possibility.
upvoted 0 times
...
Lashandra
6 months ago
I think one of the main benefits is that deep neural networks can handle more complicated problems, right? That seems to be what we discussed in class.
upvoted 0 times
...
Samira
6 months ago
Oof, I'm a little lost on this one. The options all seem plausible, but I'm not sure which one is the most accurate. I'll have to make an educated guess and hope for the best.
upvoted 0 times
...
Elliot
6 months ago
Ah, this is a good one! I remember learning about how deep neural networks can handle more complex problems than traditional approaches. I think that's the key benefit they're looking for here.
upvoted 0 times
...
Carylon
6 months ago
Hmm, I'm a bit unsure about this one. I know deep neural networks are powerful, but I'm not sure which specific benefit is the most important. I'll have to carefully consider each option.
upvoted 0 times
...
Bette
6 months ago
This seems like a straightforward question about the benefits of using deep neural networks in LLMs. I'll need to think through the key advantages to identify the best answer.
upvoted 0 times
...
Dong
11 months ago
If they really want to save money, they should try training the neural networks on leftovers from the company cafeteria.
upvoted 0 times
...
Sarah
11 months ago
I heard the company is also considering using deep-fried neural networks. They're crunchier and tastier.
upvoted 0 times
Christiane
10 months ago
C: A) They can handle more complicated problems
upvoted 0 times
...
Annice
10 months ago
B: That's interesting, I wonder how they compare to deep-fried neural networks
upvoted 0 times
...
Daisy
10 months ago
A: A) They can handle more complicated problems
upvoted 0 times
...
...
Thurman
11 months ago
Easier to understand? Yeah, right. I'll stick with option A, thank you very much.
upvoted 0 times
...
Genevieve
11 months ago
Cheaper to run? That's music to my ears! I'm going with option C.
upvoted 0 times
Michell
10 months ago
I agree, option C is definitely appealing.
upvoted 0 times
...
Ty
10 months ago
Option C sounds good to me too.
upvoted 0 times
...
Candra
10 months ago
Option C) They are cheaper to run.
upvoted 0 times
...
...
Mireya
12 months ago
Less data? Sign me up! Option B is the clear winner in my book.
upvoted 0 times
Bea
10 months ago
Definitely, option B is the way to go for the company.
upvoted 0 times
...
Octavio
10 months ago
But don't forget, they also require less data which is a huge benefit.
upvoted 0 times
...
Hayley
10 months ago
I agree, using deep neural networks can handle more complicated problems.
upvoted 0 times
...
...
Louvenia
1 year ago
Deep neural networks are great for tackling complex problems, so option A is the way to go here.
upvoted 0 times
Chun
11 months ago
D) They are easier to understand
upvoted 0 times
...
Cathern
11 months ago
C) They are cheaper to run
upvoted 0 times
...
Arlette
11 months ago
B) They require less data
upvoted 0 times
...
Martha
11 months ago
A) They can handle more complicated problems
upvoted 0 times
...
...
Quentin
1 year ago
But don't they also require a lot of data to train properly?
upvoted 0 times
...
Shala
1 year ago
I agree with Miesha, deep neural networks are great for complex tasks.
upvoted 0 times
...
Miesha
1 year ago
I think the key benefit is that they can handle more complicated problems.
upvoted 0 times
...

Save Cancel