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WorksheetsGenerative AI Techniques -1
Total questions: 10
Worksheet time: 20mins
Name
Class
Date
1.
What is the primary goal of Generative AI?
a)
To analyze and interpret data
b)
To automate decision-making processes
c)
To enhance cybersecurity measures
d)
To generate new data or content
2.
Which of the following is a popular Generative AI model?
a)
Decision Tree
b)
Generative Adversarial Network (GAN)
c)
Support Vector Machine (SVM)
d)
Linear Regression
3.
In a GAN, what is the role of the 'discriminator'?
a)
To generate new data samples
b)
To distinguish between real and generated data
c)
To optimize the generative model
d)
To encode data into a lower-dimensional space
4.
What does 'Deepfake' technology involve?
a)
Enhancing image resolution
b)
Deep learning for face recognition
c)
Creating realistic but artificial audio or video content
d)
Data encryption using deep neural networks
5.
What is 'Text-to-Image' generation in Generative AI?
a)
Converting image files into text files
b)
Storing text as image data
c)
Translating text data into image formats
d)
Creating images from textual descriptions using AI
6.
What is the 'Transformer' model in Generative AI known for?
a)
Transforming image styles
b)
Effectiveness in processing sequential data
c)
Converting data types
d)
Compressing data efficiently
7.
What is 'Style Transfer' in the context of Generative AI?
a)
Changing the file format of a document
b)
Transferring files between devices
c)
Visualizing data in different styles
d)
Applying the style of one image to another
8.
In Generative AI, what is 'Latent Space'?
a)
An abstract representation of data learned by a model
b)
A virtual environment for data interaction
c)
The physical storage space for data
d)
A space for secure data transmission
9.
What is the main use of 'Autoencoders' in Generative AI?
a)
For encrypting sensitive data
b)
To encode and decode communication signals
c)
To increase the speed of data processing
d)
For dimensionality reduction and feature learning
10.
What is 'Neural Style Transfer' primarily used for?
a)
Improving the security of neural networks
b)
Applying the artistic style of one image to the content of another
c)
Transferring neural network models between servers
d)
Compressing neural network data
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