Stanford CS236 – Generative AI

Build intuition on modern gen-AI, including diffusion models, VAEs & flows, and image synthesis. Generative models are widely used in many subfields of AI and Machine Learning. Recent advances in parameterizing these models using deep neural networks, combined with progress in stochastic optimization methods, have enabled scalable modeling of complex, high-dimensional data including images, text, and speech.