cam1681/CS25_Large_Foundation_model
Lecture slides for the Course "Large Foundation Models: Mathematics, Algorithms, and Applications"
This provides lecture slides, a textbook (under construction), and homework assignments for a university course on Large Foundation Models. It helps students and practitioners gain a deep understanding of modern generative AI, covering mathematical foundations, algorithms, and practical applications. The materials include detailed PDFs for each lecture and a comprehensive book on topics like Diffusion Models, GANs, VAEs, and Reinforcement Learning in AI. It's intended for graduate students, researchers, or AI professionals looking to build a rigorous understanding of the underlying principles of large AI models.
Use this if you are a student or professional seeking to learn about the mathematical and algorithmic foundations of Large Foundation Models from a university-level course.
Not ideal if you are looking for a beginner's introduction to AI or only need high-level conceptual explanations without deep mathematical and algorithmic detail.
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Feb 03, 2026
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