Gen Ai Medium Level Quiz 6 > Data AI Revolution

Gen AI Medium Level Quiz 6

This medium-level quiz on Generative AI is designed for individuals with foundational knowledge who want to test their understanding of core concepts and practical applications. The quiz includes questions covering various aspects of Generative AI, such as key models, algorithms, and use cases

1 / 10

What is the primary purpose of a Variational Autoencoder (VAE)?

To classify data

To generate new data samples with probabilistic models

To cluster data

To perform regression

2 / 10

What is a common problem faced while training GANs?

Overfitting

Vanishing Gradients

Mode Collapse

Data Leakage

3 / 10

Which loss function is used in GAN training?

Mean Squared Error

Binary Cross-Entropy

Hinge Loss

Absolute Error

4 / 10

What is the role of the Discriminator in GANs?

To generate fake data

To distinguish real data from generated data

To encode data

To predict outcomes

5 / 10

What is the role of the Generator in GANs?

To classify data

To generate new data samples

To evaluate the discriminator

To preprocess input data

6 / 10

Which of the following is NOT a generative model?

Variational Autoencoder (VAE)

Transformer

Random Forest

GAN

7 / 10

What are the two main components of GANs?

Encoder and Decoder

Generator and Discriminator

Preprocessor and Classifier

Transformer and Embedder

8 / 10

What does GAN stand for?

Generalized AI Network

Generative Adaptive Network

Generative Adversarial Network

Generative Automated Network

9 / 10

Which algorithm is commonly used in Generative AI?

K-Nearest Neighbors

Generative Adversarial Networks (GANs)

Decision Trees

Linear Regression

10 / 10

What is Generative AI?

AI that generates new content based on existing data

AI that only processes existing data

AI used only for predictions

AI that performs mathematical calculations

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The average score is 15%

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Gen Ai Medium Level Quiz 6

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