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D-GAI-F-01 Dumps With Exact Questions and Answers

Exact2pass Provides 100% Valid Dell GenAI Foundations Achievement D-GAI-F-01 Exam dumps Questions and answers which can helps you to Pass Your Certification Exam in First Attempt.

D-GAI-F-01 pdf
  • Last Update: 23-Jul-2024
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D-GAI-F-01 PDF + Testing Engine
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D-GAI-F-01 pdf + testing engine
  • Last Update: 23-Jul-2024
  • 58 Questions and Answers
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D-GAI-F-01 Questions and Answers

Question # 1

What is the difference between supervised and unsupervised learning in the context of training Large Language Models (LLMs)?


Supervised learning feeds a large corpus of raw data into the Al system, while unsupervised learning uses labeled data to teach the Al system what output is expected.


Supervised learning is common for fine tuning and customization, while unsupervised learning is common for base model training.


Supervised learning uses labeled data to teach the Al system what output is expected, while unsupervised learning feeds a large corpus of raw data into the Al system, which determines the appropriate weights in its neural network.


Supervised learning is common for base model training, while unsupervised learning is common for fine tuning and customization.

Question # 2

What is Transfer Learning in the context of Language Model (LLM) customization?


It is where you can adjust prompts to shape the model's output without modifying its underlying weights.


It is a process where the model is additionally trained on something like human feedback.


It is a type of model training that occurs when you take a base LLM that has been trained and then train it on a different task while using all its existing base weights.


It is where purposefully malicious inputs are provided to the model to make the model more resistant to adversarial attacks.

Question # 3

A team is working on improving an LLM and wants to adjust the prompts to shape the model's output.

What is this process called?


Adversarial Training


Self-supervised Learning




Transfer Learning

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