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Tutorial on diffusion models for imaging and vision
- redblacktree 2y agoDoes something similar exist for LLM/GPT? Edit to add: I'm mostly interested in this aspect: "The target audience of this tutorial includes [those] who are interested in [...] applying these models to solve other problems."
- roninorder 2y agoAndrej Karpathy has very good video tutorials on how to write your own GPT: https://www.youtube.com/watch?v=kCc8FmEb1nY https://www.youtube.com/watch?v=kCc8FmEb1nY
- israrkhan 2y agoThis is excellent
- BaculumMeumEst 2y agoAndrej Karpathy has a youtube playlist: https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThs... He is building new learning materials under his new company "Eureka Labs": https://eurekalabs.ai https://eurekalabs.ai Sebastian Raschka's book "Build a Large Language Model (From Scratch) just released: https://www.manning.com/books/build-a-large-language-model-from-scratch?utm_source=raschka&utm_medium=affiliate&utm_campaign=book_raschka_build_12_12_23&a_aid=raschka&a_bid=4c2437a0&chan=mm_website& https://www.manning.com/books/build-a-large-language-model-f... All of these resources are excellent.
- humansareok1 2y ago3Blue1Brown has a pretty great video series walking through Transformers: https://www.youtube.com/watch?v=wjZofJX0v4M https://www.youtube.com/watch?v=wjZofJX0v4M
- GaggiX 2y agoA very useful guide about how diffusion models work and implementation: https://keras.io/examples/generative/ddim/ https://keras.io/examples/generative/ddim/ I find the explanation in this article very intuitive.
- mandoline 2y ago[dead]
- yinser 2y ago> see tutorial on diffusion > get excited > it's all math in latex > despair
- whimsicalism 2y agothe math is learnable and with gpt nowadays, extremely so
- mdp2021 2y agoYou are right! LLMs accept the formulas and may explain them... It will be more difficult to tell when they are wrong, though - when you cannot verify directly. But it will be a device for people to get acquainted with the math.
- slashdave 2y agoLatex is great in this case, because the equations are all written out clearly. If you want to understand diffusion, it's a little difficult to avoid math.
- sva_ 2y agoMaybe check out the fast ai course. Jeremy Howard has a way of explaining stuff.
- deleted 2y ago[deleted]
- Sharlin 2y agoDiffusion is math. It’s difficult to avoid math if you want to understand math.
- CamperBob2 2y agoBe that as it may, this isn't what I'd call a "tutorial," in the sense that you'd better already have a strong command of the subject matter or you won't get much out of it.
- 2y ago
- maCDzP 2y agoSo anyone up for a discussion on this paper at: https://www.alphaxiv.org/abs/2403.18103 https://www.alphaxiv.org/abs/2403.18103
- LarsDu88 2y agoThe first diffusion model for text generation was published less than a year ago. Should add something about that
- LarsDu88 2y agoThis paper is much clearer and succinct than the original papers from the field. Trying to build a protein diffusion model from scratch right now. The math explainer is quite helpful