MIT OpenCourseware: Generative AI with Stochastic Differential Equations
2025-03-03
MIT offers an open course on generative AI focusing on the mathematical framework underlying flow matching and diffusion models. Starting from first principles, the course covers ordinary and stochastic differential equations, conditional and marginal probability paths, and more. Students build a toy image diffusion model through three hands-on labs. Prerequisites include linear algebra, real analysis, basic probability, Python, and PyTorch experience. This course is ideal for those seeking a deep understanding of generative AI theory and practice.