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WorksheetsEssentials of GenAI
Total questions: 15
Worksheet time: 8mins
What is the primary goal of Generative AI?
Classifying data into categories
Generating new data similar to training data
Reducing computational costs
Optimizing reinforcement learning
Which of these is a generative model?
SVM (Support Vector Machine)
Random Forest
GAN (Generative Adversarial Network)
Logistic Regression
In a GAN, the Generator’s role is to
Discriminate between real and fake data
Generate synthetic data to fool the Discriminator
Compress input data
Classify images
The Discriminator in a GAN is responsible for
Creating fake samples
Distinguishing real data from generated data
Reducing data dimensions
Training the Generator directly
Autoencoders are mainly used for:
Supervised learning
Unsupervised representation learning
Reinforcement learning
Time-series prediction
Which part of an Autoencoder reduces input dimensionality?
Decoder
Encoder
Latent space
Loss function
How does a VAE differ from a standard Autoencoder?
VAEs have no decoder
VAEs use probabilistic latent variables
VAEs are only for classification
VAEs don’t use neural networks
The latent space in a VAE is
Fixed and non-learnable
Deterministic
Probabilistic (e.g., Gaussian distribution)
Discrete
Which loss function is used in VAEs?
Only Mean Squared Error (MSE)
Cross-Entropy Loss
KL Divergence + Reconstruction Loss
Hinge Loss
"Mode collapse" in GANs refers to
The generator producing diverse outputs
The generator producing limited varieties of samples
The discriminator failing completely
The model overfitting
Which of these is NOT a generative model?
VAE
GAN
Autoencoder
k-Nearest Neighbors (k-NN)
What does the "Adversarial" in GAN refer to?
Cooperation between Generator and Discriminator
Competition between Generator and Discriminator
Reinforcement learning
Data augmentation
In VAEs, the "reparameterization trick" is used to:
Generate higher-resolution images
Enable backpropagation through random sampling
Reduce training time
Remove the need for a decoder
Which architecture is best for generating realistic images?
Autoencoder
VAE
GAN
Decision Tree
Which model explicitly learns a probability distribution?
Standard Autoencoder
VAE
GAN
CNN
