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Dell EMC D-GAI-F-01 Exam - Topic 2 Question 20 Discussion

Actual exam question for Dell EMC's D-GAI-F-01 exam
Question #: 20
Topic #: 2
[All D-GAI-F-01 Questions]

A company is planning to use Generative Al.

What is one of the do's for using Generative Al?

Show Suggested Answer Hide Answer
Suggested Answer: D

Feature-based transfer learning involves leveraging certain features learned by a pre-trained model and adapting them to a new task. Here's a detailed explanation:

Feature Selection: This process involves identifying and selecting specific features or layers from a pre-trained model that are relevant to the new task while discarding others that are not.

Adaptation: The selected features are then fine-tuned or re-trained on the new dataset, allowing the model to adapt to the new task with improved performance.

Efficiency: This approach is computationally efficient because it reuses existing features, reducing the amount of data and time needed for training compared to starting from scratch.


Pan, S. J., & Yang, Q. (2010). A Survey on Transfer Learning. IEEE Transactions on Knowledge and Data Engineering, 22(10), 1345-1359.

Yosinski, J., Clune, J., Bengio, Y., & Lipson, H. (2014). How Transferable Are Features in Deep Neural Networks? In Advances in Neural Information Processing Systems.

Contribute your Thoughts:

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Willis
3 months ago
Creating undue risk? That's a hard pass for me!
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Victor
3 months ago
Not sure about this whole Generative AI thing...
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Jamal
3 months ago
Wait, people actually think ignoring ethics is okay?
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Erin
3 months ago
Agree, setting it and forgetting it is a bad idea.
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Ezekiel
4 months ago
Definitely invest in talent and infrastructure!
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Glenna
4 months ago
I vaguely recall a practice question about minimizing risk with AI. So, creating undue risk seems like the opposite of what we should do.
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Angella
4 months ago
I feel like ethical considerations are a big deal in AI, so ignoring them can't be a do. That rules out option C for me.
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Marshall
4 months ago
I'm not entirely sure, but I think "set and forget" is definitely not a good practice. It sounds familiar from a case study we did.
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Aliza
4 months ago
I remember discussing the importance of investing in talent and infrastructure for successful AI implementation. That seems like a solid choice.
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Tandra
5 months ago
"Set and forget" definitely doesn't sound like a good idea. Generative AI needs ongoing monitoring and adjustment to ensure it's being used responsibly. I'll steer clear of that one.
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Augustine
5 months ago
Investing in talent and infrastructure sounds like a smart approach to me. Generative AI requires significant resources and expertise to implement effectively, so that's likely the best "do" option here.
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Evelynn
5 months ago
Hmm, I'm a bit unsure about this one. Generative AI is a complex topic, and I want to make sure I understand the nuances before answering. I'll try to eliminate the clearly wrong options first.
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Golda
5 months ago
This seems like a straightforward question about best practices for using Generative AI. I'll carefully read through the options and select the one that best aligns with the "do's" for this technology.
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Lili
5 months ago
Ignoring ethical considerations is a big no-no when it comes to Generative AI. That could lead to all sorts of problems, so I'll steer clear of option C.
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Freeman
5 months ago
Option B, "set and forget," sounds like a recipe for disaster. Generative AI requires ongoing monitoring and adjustment, so that's definitely not a good strategy.
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Paris
5 months ago
Investing in talent and infrastructure seems like the most sensible approach to using Generative AI effectively. I'll go with option A.
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Gwenn
5 months ago
Hmm, I'm a bit unsure about this one. The options seem to cover different aspects of Generative AI usage, but I'll need to think carefully about which one is the best "do" recommendation.
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Sharee
5 months ago
This seems like a straightforward question about best practices for using Generative AI. I'll focus on the key do's and don'ts mentioned in the options.
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Golda
9 months ago
Invest in talent and infrastructure? Sounds like the smart move to me. Gotta lay the groundwork before you can reap the benefits.
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Lucia
8 months ago
Absolutely, laying the groundwork is essential for long-term success with Generative AI.
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Louisa
8 months ago
A) Invest in talent and infrastructure
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Adelina
8 months ago
No, you can't just set and forget when it comes to using Generative AI. It requires ongoing monitoring and adjustments.
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Donette
8 months ago
B) Set and forget
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Aileen
8 months ago
That's right, investing in talent and infrastructure is crucial for successful implementation of Generative AI.
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Bonita
9 months ago
A) Invest in talent and infrastructure
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Emile
10 months ago
Creating undue risk? Nah, that's not how I roll. I'd rather be safe than sorry when it comes to Generative AI.
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Lorrie
10 months ago
Ignoring ethical considerations? That's like playing with fire and expecting not to get burned. Not a good idea!
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Melodie
8 months ago
A: Definitely, it's important to consider the ethical implications of using AI.
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Aja
8 months ago
B: Yeah, ignoring ethical considerations can lead to serious consequences.
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Jodi
8 months ago
A: Investing in talent and infrastructure is crucial for using Generative AI.
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Glen
10 months ago
Setting and forgetting Generative AI? That's like leaving a hungry toddler alone in a candy store - recipe for disaster!
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Orville
9 months ago
A: Ignoring ethical considerations when using Generative AI can have serious consequences.
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Refugia
9 months ago
B: Setting and forgetting Generative AI can lead to unexpected outcomes and errors.
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Chanel
9 months ago
A: Investing in talent and infrastructure is crucial for successful implementation of Generative AI.
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Cristy
10 months ago
Investing in talent and infrastructure is definitely the way to go. You can't just expect Generative AI to work miracles without the right foundation.
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Elmira
9 months ago
B) Set and forget
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Cletus
9 months ago
That's right, having the right team and resources is crucial for success.
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Stephane
9 months ago
A) Invest in talent and infrastructure
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Roxane
11 months ago
I believe setting and forgetting Generative AI can lead to potential risks and errors, so it's important to invest in talent and infrastructure instead.
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An
11 months ago
I agree with Micah, investing in talent and infrastructure is crucial for successful implementation of Generative AI.
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Micah
11 months ago
I think the do's for using Generative AI is to invest in talent and infrastructure.
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Dean
11 months ago
I think it's selecting specific features of a model to keep while removing others.
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Lynette
11 months ago
I think it's enhancing the model's features with real-time data.
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Stefan
11 months ago
I believe it's about training a model on entirely new features.
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Agustin
11 months ago
Transferring the learning process to a new model? Isn't that just called 'learning'? A is way too obvious.
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Antonio
11 months ago
I think feature-based transfer learning is transferring the learning process to a new model.
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Vivan
11 months ago
I'm going with B. If I'm starting with a new dataset, I might as well train the model on entirely new features. Fresh start, you know?
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Kelvin
10 months ago
I'm going with B. If I'm starting with a new dataset, I might as well train the model on entirely new features. Fresh start, you know?
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Krystina
10 months ago
B) Set and forget
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Layla
10 months ago
A) Invest in talent and infrastructure
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