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 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

2 / 10

Which of the following are common uses of Generative AI?

Image generation

Speech synthesis

Sorting algorithms

Text generation

3 / 10

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

Art and design

Healthcare

Travel

Agriculture

4 / 10

What is the role of the discriminator in a GAN?

To generate new data samples

To train other neural networks

To classify the generated data as real or fake

To help the generator create data

5 / 10

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

Discriminator overtraining

Mode collapse

Generator underfitting

Data overfitting

6 / 10

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

To supervise the discriminator

To generate real data

To classify data as real or fake

To create new, synthetic data

7 / 10

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

BERT (Bidirectional Encoder Representations from Transformers)

GPT (Generative Pretrained Transformer)

RNN (Recurrent Neural Network)

CNN (Convolutional Neural Network)

8 / 10

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

Discriminative AI creates new data

Generative AI classifies data

Generative AI creates new data

Discriminative AI classifies data

9 / 10

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

By learning a probabilistic representation of the data

By using a fixed latent space

By using convolutional layers

By creating fake data from random noise

10 / 10

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

Fraud detection

Image-to-image translation

Deepfake generation

Text-to-speech synthesis

Your score is

The average score is 0%

0%

Gen AI Basics Quiz 2

Related

Databases Medium-level quiz 6

Bidirectional LSTMs: Enhanced Text Generation better than LSTM

Text Generation Made Easy with LSTM: A Comprehensive Guide for Beginners

Leave a Reply Cancel reply

L&T Technology Services Limited (LTTS) for Graduate Engineers

Databases Medium-level quiz 6

Bidirectional LSTMs: Enhanced Text Generation better than LSTM

Text Generation Made Easy with LSTM: A Comprehensive Guide for Beginners

Text Generation with Recurrent Neural Networks (RNNs) : A Step-by-Step Guide

Related

More Stories

Leave a Reply Cancel reply

You may have missed