DELL EMC D-GAI-F-01 Dumps (V10.02) – You Comprehensive Study Materials to Pass the Dell GenAI Foundations Certification Exam

1. What are the three key patrons involved in supporting the successful progress and formation of any Al-based application?

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

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

4. What impact does bias have in Al training data?

5. What is one of the positive stereotypes people have about Al?

6. What is artificial intelligence?

7. What is Artificial Narrow Intelligence (ANI)?

A. Al systems that can perform any task autonomously

B. Al systems that can process beyond human capabilities

C. Al systems that can think and make decisions like humans

D. Al systems that can perform a specific task autonomously

8. Why is diversity important in Al training data?

A. To make Al models cheaper to develop

B. To reduce the storage requirements for data

C. To ensure the model can generalize across different scenarios

D. To increase the model's speed of computation

9. What is the first step an organization must take towards developing an Al-based application?

10. What is the primary purpose of fine-tuning in the lifecycle of a Large Language Model (LLM)?

11. Why should artificial intelligence developers always take inputs from diverse sources?

12. What is the purpose of the explainer loops in the context of Al models?

13. What is the purpose of fine-tuning in the generative Al lifecycle?

14. What is one of the objectives of Al in the context of digital transformation?

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

16. What is the significance of parameters in Large Language Models (LLMs)?

17. What is the primary function of Large Language Models (LLMs) in the context of Natural Language Processing?

18. What is the primary purpose oi inferencing in the lifecycle of a Large Language Model (LLM)?

19. What strategy can an organization implement to mitigate bias and address a lack of diversity in technology?

20. What is P-Tuning in LLM?