Dell EMC
D-GAI-F-01
Q1:
A company wants to develop a language model but has limited resources.
What is the main advantage of using pretrained LLMs in this scenario?
○
A
They save time and resources○
B
They require less data○
C
They are cheaper to develop○
D
They are more accurate
Dell EMC
D-GAI-F-01
Q2:
What role does human feedback play in Reinforcement Learning for LLMs?
○
A
It is used to provide real-time corrections to the model's output.○
B
It helps in identifying the model's architecture for optimization.○
C
It assists in the physical hardware improvement of the model.○
D
It rewards good output and penalizes bad output to improve the model.
Dell EMC
D-GAI-F-01
Q3:
What is P-Tuning in LLM?
○
A
Adjusting prompts to shape the model's output without altering its core structure○
B
Preventing a model from generating malicious content○
C
Personalizing the training of a model to produce biased outputs○
D
Punishing the model for generating incorrect answers
Dell EMC
D-GAI-F-01
Q4:
What strategy can an organization implement to mitigate bias and address a lack of diversity in technology?
○
A
Limit partnerships with nonprofits and nongovernmental organizations.○
B
Partner with nonprofit organizations, customers, and peer companies on coalitions, advocacy groups, and public policy initiatives.○
C
Reduce diversity across technology teams and roles.○
D
Ignore the issue and hope it resolves itself over time.
Dell EMC
D-GAI-F-01
Q5:
What is the primary purpose oi inferencing in the lifecycle of a Large Language Model (LLM)?
○
A
To customize the model for a specific task by feeding it task-specific content○
B
To feed the model a large volume of data from a wide variety of subjects○
C
To use the model in a production, research, or test environment○
D
To randomize all the statistical weights of the neural networks