Artificial Intelligence & Machine Learning

Generative AI Knowledge Check

A concise set of multiple‑choice items designed to gauge understanding of current generative machine‑learning concepts.

#transformers#generative ai#classifier free guidance#mode collapse#bpe#fid#text to image#gan#vae#diffusion models

Total Questions

Difficulty Level

medium

Progress

0/0

Quiz Questions

Answer all questions below and test your knowledge.

1
Diffusion models create samples by
Question 1
2
What is the computational complexity of self‑attention in a standard transformer per layer?
Question 2
3
Which loss term is most commonly used to measure reconstruction error in a VAE decoder for continuous data?
Question 3
4
Which model first popularized text‑to‑image generation in early 2021?
Question 4
5
Which metric evaluates the similarity between distributions of generated and real images?
Question 5
6
What tokenization technique underlies GPT‑4's text processing?
Question 6
7
A VQ‑VAE compressing a 256×256 image typically reduces spatial resolution to
Question 7
8
Which training strategy is most effective at mitigating mode collapse in GANs?
Question 8
9
The main benefit of classifier‑free guidance during diffusion sampling is
Question 9