1: What is the primary objective of a Generative Adversarial Network (GAN)?

Classify image into categories.
Generate new data that resembles the training data
Reduce dimensionality of data
Perform regression on structured data
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2: Which component of a Variational Autoencoder (VAE) is responsible for enforcing a probabilistic structure on the latent space?

Decoder
Encoder
Latent Space Regularisation (KL divergence)
Discriminator
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3: In the Transformer architecture, which mechanism allows the model to focus on different parts of the input sequence dynamically?

Convultional layers
Recurrent connections
Self-attention
Pooling layers
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4. Which of the following is NOT a typical application of Generative AI?

Image synthesis
Anomaly detection
Reinforcement learning for Robotics
Text-to-Image generation
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5. What is a major ethical concern associated with Generative AI models like Deepfake technology?

Increased model Intepretability
Bias in training datasets
Lack of computational efficiency
Inability to generalise
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