Question 1

In the context of Generative Adversarial Networks (GANs), what is the primary role of the "Generator"?

Options :

A : To ensure the training data-s variability remains consistent.

B : To optimize the network-s convergence rate.

C : To evaluate the model-s performance consistently.

D : To create fake data samples.

Answer: D

Question 2

How will quantum computing potentially revolutionize AI workflows in the near future?

Options :

A : By enabling AI to use less computational power

B : By reducing the need for machine learning entirely

C : By simplifying deep learning models for deployment

D : By solving complex optimization problems at speeds that classical computers cannot match

Answer: D

Question 3

Which economic principle explains the declining cost of AI deployment as the scale of operations increases?

Options :

A : Economies scale

B : Expansion theory

C : Infrastructure curve

D : Marginal savings

Answer: A

Question 4

What is the primary goal of supervised learning in artificial intelligence?

Options :

A : To map input data to known output labels

B : To discover hidden patterns in data

C : To generate new data points similar to a given dataset

D : To allow the AI model to learn without any labeled data

Answer: A

Question 5

In the context of neural networks, what does the term “backpropagation” refer to?

Options :

A : A technique to forward information through the network

B : The process of applying dropout regularization

C : A method to randomly initialize the weights in a network

D : The algorithm used to calculate the gradients for weight updates

Answer: D

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