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Generative AI: diffusion and flow models

How modern image, video, and audio generators actually work, from first principles to the frontier. Learn the denoising mechanism behind diffusion models, the guidance and sampler tricks that turn them into products, the flow-matching reframing that powers state-of-the-art generators, and how diffusion is being rebuilt for text. Finish able to read any generative-model release mechanically: corruption, path, target, and where the inference compute goes.

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Lessons, in order

  1. 1
    AI
    Diffusion models: learning to create by learning to denoise
    Start
  2. 2
    AI
    Guidance and samplers: steering diffusion and making it fast
    Start
  3. 3
    AI
    Flow matching: straightening the path from noise to data
    Start
  4. 4
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    Diffusion language models: generating text all at once
    Start