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Generative AI Quiz

Total questions: 20

Worksheet time: 10mins

Name
Class
Date
1.

What is Generative AI primarily used for?

a)

Hardware design

b)

Network security

c)

Data storage

d)

Creating original content

2.

Which of the following is a foundation model?

a)

Photoshop

b)

PowerPoint

c)

Excel

d)

BERT

3.

In what year was the first chatbot, ELIZA, developed?

a)

1999

b)

1980

c)

1972

d)

1964

4.

What does LLM stand for in the context of Generative AI?

a)

Logical Language Model

b)

Layered Learning Model

c)

Linear Learning Model

d)

Large Language Model

5.

Which model architecture is commonly used in Generative AI?

a)

Support Vector Machines

b)

Transformers

c)

Recurrent Neural Networks

d)

Convolutional Neural Networks

6.

What is the primary function of a Discriminator model in GANs?

a)

To store data

b)

To generate new data

c)

To classify real and fake data

d)

To enhance image quality

7.

What is a key benefit of using foundation models?

a)

They speed up the development of new applications

b)

They are inexpensive to develop from scratch

c)

They require no data

d)

They are only used for text generation

8.

Which of the following is NOT a type of Generative AI application?

a)

Text summarization

b)

Image generation

c)

Data encryption

d)

Code generation

9.

What is the purpose of fine-tuning a foundation model?

a)

To adjust the model for specific tasks

b)

To increase the model's size

c)

To reduce the model's complexity

d)

To create a new model from scratch

10.

What does RLHF stand for in the context of model training?

a)

Reinforcement Learning for Human Function

b)

Reinforcement Learning with Human Feedback

c)

Random Learning with Human Feedback

d)

Reinforced Learning for High Fidelity

11.

Which of the following is an example of Generative AI in healthcare?

a)

Siri

b)

ChatGPT

c)

DeepMind’s AlphaFold

d)

Google Assistant

12.

What is a significant challenge in developing foundation models?

a)

Low computational requirements

b)

Ease of integration

c)

Lack of data

d)

High cost and resource demands

13.

What is the main purpose of Generative Adversarial Networks (GANs)?

a)

To analyze data

b)

To store data

c)

To generate realistic data

d)

To classify data

14.

Which of the following is a feature of Large Language Models (LLMs)?

a)

Capable of translation and summarization

b)

Only used for chatbots

c)

Limited to text generation

d)

Trained on small datasets

15.

What is the role of the Generator model in GANs?

a)

To store training data

b)

To evaluate model performance

c)

To classify data

d)

To generate new data samples

16.

What is one ethical concern associated with Generative AI?

a)

Increased creativity

b)

Cost optimization

c)

Distribution of harmful content

d)

Improved decision-making

17.

What is the first step in creating a model using GANs?

a)

Define the objective

b)

Train the model

c)

Deploy the model

d)

Evaluate the model

18.

Which of the following applications uses Generative AI for music composition?

a)

Siri

b)

MusicLM

c)

ChatGPT

d)

DALL-E

19.

What is a common application of Generative AI in customer service?

a)

Video generation

b)

Data analysis

c)

Chatbots

d)

Image editing

20.

What is the significance of the paper 'Attention is All You Need'?

a)

It introduced GANs

b)

It documented transformer models

c)

It was the first chatbot

d)

It focused on image generation