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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?

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:

Dong
23 days 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
24 days ago
I heard the company is also considering using deep-fried neural networks. They're crunchier and tastier.
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Daisy
3 days ago
A: A) They can handle more complicated problems
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Thurman
27 days ago
Easier to understand? Yeah, right. I'll stick with option A, thank you very much.
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Genevieve
29 days ago
Cheaper to run? That's music to my ears! I'm going with option C.
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Mireya
1 months ago
Less data? Sign me up! Option B is the clear winner in my book.
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Louvenia
2 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
6 days ago
D) They are easier to understand
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Cathern
9 days ago
C) They are cheaper to run
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Arlette
19 days ago
B) They require less data
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Martha
1 months ago
A) They can handle more complicated problems
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Quentin
2 months ago
But don't they also require a lot of data to train properly?
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Shala
2 months ago
I agree with Miesha, deep neural networks are great for complex tasks.
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Miesha
2 months ago
I think the key benefit is that they can handle more complicated problems.
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