Artificial Intelligence & Machine Learning

Generative AI Systems: Architecture and Methodology

A concise, focused quiz exploring intermediate concepts in generative model design and analysis.

#Transformers#Diffusion Models#2026 Survey#Neural Architectures#Model Evaluation

Total Questions

Difficulty Level

medium

Progress

0/0

Quiz Questions

Answer all questions below and test your knowledge.

1
In a transformer-based autoregressive language model, what is the primary purpose of applying a causal attention mask during training?
Question 1
2
The Denoising Diffusion Probabilistic Model (DDPM) framework learns to generate data by reversing a fixed forward process. What is the primary quantity the model is trained to predict?
Question 2
3
Which of the following is a key conceptual difference between a GAN (Generative Adversarial Network) and a typical Variational Autoencoder (VAE)?
Question 3
4
What does the 'latent space' of a generative model, such as a VAE or a GAN, fundamentally represent?
Question 4
5
In the context of evaluating text-to-image generative models, what is a significant limitation of relying solely on metrics like FID (Fréchet Inception Distance) or IS (Inception Score)?
Question 5
6
What is the primary motivation behind using a Mixture of Experts (MoE) layer within a large generative model?
Question 6

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