📐 Advanced Math & Architecture of Foundation Models

  • BIMSA / Tsinghua University CS25: Large Foundation Models: An advanced graduate-level lecture series covering the explicit mathematical formulas behind modern GenAI. The repository contains full LaTeX slides and course chapters detailing Diffusion Models, Flow Matching, Variational Autoencoders (VAEs), Discrete Diffusion, and World Models.
    👉 CS25 Large Foundation Model GitHub Repository [12]
  • Skoltech Generative AI Course Family: Lecture slides, seminar notes, and practice notebooks from intensive research-level tracks led by Alexander Korotin. It focuses heavily on advanced generative processing, optimal transport, and implicit neural representations.
    👉 Skoltech Generative AI Course GitHub Repository [123]
  • Carnegie Mellon University (CMU) LLM Class: The official open repository containing the syllabus and grading milestones for CMU’s dedicated Large Language Models class. It provides a structured framework for students to compare, contrast, and evaluate varying token-processing models within the open-source LLM ecosystem.
    👉 CMU LLM Class Syllabus GitHub Repository [1]

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