NCCU Yen-Lung Tsai Generative AI L14: Text and Image Models Invade Each Other's Territory, Plus the Final Project
The last lecture looks at two lines of technology crossing into each other. LLMs such as ChatGPT have started drawing, and the slides use early fusion plus VQ-VAE/VQGAN to explain how an image can be cut into tokens. Going the other way, Inception Labs' Mercury generates text with diffusion, noising a sentence into a row of [MASK] tokens and then restoring it. Next come a few papers anyone can use: evaluating RAG automatically, reasoning models being easier to hijack, and DeepMind's four kinds of AI risk. The lecture ends with vibe coding and a list of application tools, and the final project runs as an online conference in Gather Town.