Gen AI Basics Quiz 2 > Data AI Revolution

Gen AI Basics Quiz 2

This is the second quiz in the Generative AI Basics series, featuring new questions that cover key concepts such as GANs, Variational Autoencoders, and the latest applications of Generative AI in fields like healthcare and art. With 10 multiple-choice questions, some of which may have more than one correct answer, this quiz is designed to challenge your growing knowledge of Generative AI.

1 / 10

What is a key difference between Generative AI and Discriminative AI?

Generative AI creates new data

Discriminative AI creates new data

Discriminative AI classifies data

Generative AI classifies data

2 / 10

Which of the following models is primarily used for generating text in Generative AI?

GPT (Generative Pretrained Transformer)

BERT (Bidirectional Encoder Representations from Transformers)

RNN (Recurrent Neural Network)

CNN (Convolutional Neural Network)

3 / 10

What technique does a Variational Autoencoder (VAE) use to generate new data?

By learning a probabilistic representation of the data

By using convolutional layers

By creating fake data from random noise

By using a fixed latent space

4 / 10

What are Generative Adversarial Networks (GANs) composed of?

A generator and a discriminator

A forward and backward pass model

Two competing neural networks

A single neural network

5 / 10

As of now, in which of the following domains has Generative AI shown significant advancements?

Healthcare

Art and design

Travel

Agriculture

6 / 10

What is the role of the discriminator in a GAN?

To generate new data samples

To help the generator create data

To train other neural networks

To classify the generated data as real or fake

7 / 10

What is the primary purpose of the generator in a GAN?

To create new, synthetic data

To classify data as real or fake

To supervise the discriminator

To generate real data

8 / 10

Which of the following is a key challenge in training GANs?

Generator underfitting

Data overfitting

Mode collapse

Discriminator overtraining

9 / 10

Which of the following is NOT an application of Generative AI?

Image-to-image translation

Fraud detection

Deepfake generation

Text-to-speech synthesis

10 / 10

Which of the following are common uses of Generative AI?

Sorting algorithms

Text generation

Image generation

Speech synthesis

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Gen AI Basics Quiz 2

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