Generative AI Techniques -1

What is the primary goal of Generative AI?

• To analyze and interpret data
• To automate decision-making processes
• To enhance cybersecurity measures
• To generate new data or content

Which of the following is a popular Generative AI model?

• Decision Tree
• Generative Adversarial Network (GAN)
• Support Vector Machine (SVM)
• Linear Regression

In a GAN, what is the role of the 'discriminator'?

• To generate new data samples
• To distinguish between real and generated data
• To optimize the generative model
• To encode data into a lower-dimensional space

What does 'Deepfake' technology involve?

• Enhancing image resolution
• Deep learning for face recognition
• Creating realistic but artificial audio or video content
• Data encryption using deep neural networks

What is 'Text-to-Image' generation in Generative AI?

• Converting image files into text files
• Storing text as image data
• Translating text data into image formats
• Creating images from textual descriptions using AI

What is the 'Transformer' model in Generative AI known for?

• Transforming image styles
• Effectiveness in processing sequential data
• Converting data types
• Compressing data efficiently

What is 'Style Transfer' in the context of Generative AI?

• Changing the file format of a document
• Transferring files between devices
• Visualizing data in different styles
• Applying the style of one image to another

In Generative AI, what is 'Latent Space'?

• An abstract representation of data learned by a model
• A virtual environment for data interaction
• The physical storage space for data
• A space for secure data transmission

What is the main use of 'Autoencoders' in Generative AI?

• For encrypting sensitive data
• To encode and decode communication signals
• To increase the speed of data processing
• For dimensionality reduction and feature learning

What is 'Neural Style Transfer' primarily used for?

• Improving the security of neural networks
• Applying the artistic style of one image to the content of another
• Transferring neural network models between servers
• Compressing neural network data