Generative AI Recap - M5

Generative AI Recap - M5

Professional Development

18 Qs

quiz-placeholder

Similar activities

Technical Training

Technical Training

Professional Development

15 Qs

20764 - SQL - Mod 5 and 6

20764 - SQL - Mod 5 and 6

Professional Development

18 Qs

POST TEST WEB STATIC

POST TEST WEB STATIC

University - Professional Development

20 Qs

Cyber Resilience Training

Cyber Resilience Training

Professional Development

16 Qs

Bimtek SD Perkelas

Bimtek SD Perkelas

Professional Development

17 Qs

business 1.4 revision

business 1.4 revision

KG - Professional Development

20 Qs

Telco Practice Test 1

Telco Practice Test 1

Professional Development

15 Qs

Digital Electronics (Weekend Assignment - 3)

Digital Electronics (Weekend Assignment - 3)

University - Professional Development

20 Qs

Generative AI Recap - M5

Generative AI Recap - M5

Assessment

Quiz

Computers

Professional Development

Practice Problem

Hard

Created by

DirectEd Kenya

Used 17+ times

FREE Resource

AI

Enhance your content in a minute

Add similar questions
Adjust reading levels
Convert to real-world scenario
Translate activity
More...

18 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is Generative AI?

AI that focuses on pattern recognition and prediction.

AI that only processes numerical data.

AI that creates new content such as text, images, music, and videos.

AI that is used solely for video games.

Answer explanation

Generative AI refers to AI that creates new content such as text, images, music, and videos, not AI used solely for video games.

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the foundation of Generative AI?

Support Vector Machines

K-Nearest Neighbors

Decision Trees

Artificial Neural Networks (ANNs)

Answer explanation

The foundation of Generative AI is Artificial Neural Networks (ANNs), not Support Vector Machines.

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What subset of machine learning uses neural networks with multiple layers to process large and complex datasets?

Reinforcement Learning

Supervised Learning

Unsupervised Learning

Deep Learning

Answer explanation

Deep Learning is the subset of machine learning that uses neural networks with multiple layers to process large and complex datasets.

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is NOT a type of generative model?

Decision Trees

Generative Adversarial Networks (GANs)

Transformer Models

Variational Autoencoders (VAEs)

Answer explanation

Generative Adversarial Networks (GANs) is NOT a type of generative model, as it is a type of discriminative model used for generating new data.

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

In GANs, what is the role of the generator?

To distinguish fake data from real data.

To compress data.

To create fake data.

To decode data.

Answer explanation

In GANs, the role of the generator is to create fake data, not to distinguish fake data from real data, compress data, or decode data.

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is a prominent example of a Transformer model used for text generation?

LSTM

RNN

BERT

GPT (Generative Pre-trained Transformer)

Answer explanation

GPT (Generative Pre-trained Transformer) is a prominent example of a Transformer model used for text generation.

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which application of Generative AI involves creating realistic images from textual descriptions?

Video Synthesis

Image Creation

Text Generation

Music Composition

Answer explanation

The correct choice is Text Generation because it involves creating realistic images from textual descriptions.

Access all questions and much more by creating a free account

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

Already have an account?