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Dell EMC Exam D-GAI-F-01 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?

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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:

Dong
2 months ago
If they really want to save money, they should try training the neural networks on leftovers from the company cafeteria.
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Sarah
2 months ago
I heard the company is also considering using deep-fried neural networks. They're crunchier and tastier.
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Christiane
7 days ago
C: A) They can handle more complicated problems
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Annice
26 days ago
B: That's interesting, I wonder how they compare to deep-fried neural networks
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Daisy
1 months ago
A: A) They can handle more complicated problems
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Thurman
2 months ago
Easier to understand? Yeah, right. I'll stick with option A, thank you very much.
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Genevieve
2 months ago
Cheaper to run? That's music to my ears! I'm going with option C.
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Michell
11 days ago
I agree, option C is definitely appealing.
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Ty
12 days ago
Option C sounds good to me too.
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Candra
17 days ago
Option C) They are cheaper to run.
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Mireya
2 months ago
Less data? Sign me up! Option B is the clear winner in my book.
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Bea
22 days ago
Definitely, option B is the way to go for the company.
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Octavio
23 days ago
But don't forget, they also require less data which is a huge benefit.
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Hayley
27 days ago
I agree, using deep neural networks can handle more complicated problems.
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Louvenia
3 months ago
Deep neural networks are great for tackling complex problems, so option A is the way to go here.
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Chun
1 months ago
D) They are easier to understand
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Cathern
1 months ago
C) They are cheaper to run
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Arlette
2 months ago
B) They require less data
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Martha
2 months ago
A) They can handle more complicated problems
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Quentin
3 months ago
But don't they also require a lot of data to train properly?
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Shala
3 months ago
I agree with Miesha, deep neural networks are great for complex tasks.
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Miesha
3 months ago
I think the key benefit is that they can handle more complicated problems.
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