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Dell EMC Exam D-GAI-F-01 Topic 4 Question 28 Discussion

Actual exam question for Dell EMC's D-GAI-F-01 exam
Question #: 28
Topic #: 4
[All D-GAI-F-01 Questions]

What are the three broad steps in the lifecycle of Al for Large Language Models?

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Suggested Answer: A

Training: The initial phase where the model learns from a large dataset. This involves feeding the model vast amounts of text data and using techniques like supervised or unsupervised learning to adjust the model's parameters.


Customization: This involves fine-tuning the pretrained model on specific datasets related to the intended application. Customization makes the model more accurate and relevant for particular tasks or industries.

Inferencing: The deployment phase where the trained and customized model is used to make predictions or generate outputs based on new inputs. This step is critical for real-time applications and user interactions.

by Karl at Aug 19, 2025, 12:30 AM

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Thad
5 days ago
I think the steps might involve Training and something about Deployment, but I'm not sure about the third one.
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Sharika
11 days ago
Hmm, I'm a bit torn between a few of these options. I know it involves things like preprocessing the data, actually training the model, and then some kind of postprocessing. I'll have to weigh the choices carefully.
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Hollis
16 days ago
I've got this! The three broad steps are training, customization, and inferencing. That's definitely the right answer. Option A is the one I'm going with.
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Aleisha
21 days ago
Okay, let's see. I remember the key steps are something like data collection, model training, and then deployment. I think option D might be the right answer here.
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Jonell
26 days ago
Ugh, I'm not too sure about this. The lifecycle of AI for large language models is a bit fuzzy in my mind. I'll have to think this through carefully.
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Zana
1 months ago
Hmm, this seems like a pretty straightforward question. I'm pretty confident I can nail this one.
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Hermila
2 months ago
I think C. Initialization, Training, and Deployment makes the most sense. You've gotta set up the model before you can train it and then deploy it.
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Tegan
2 months ago
I'm pretty sure it's B. Preprocessing, Training, and Postprocessing. That's the standard lifecycle for most ML models, right?
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Kristian
3 months ago
I think the three broad steps are Training, Customization, and Inferencing.
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