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Tiny-diffusion: A minimal implementation of probabilistic diffusion models | Better HN
Tiny-diffusion: A minimal implementation of probabilistic diffusion models
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(github.com)
96 points
BraverHeart
9mo ago
5 comments
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aestuans
9mo ago
This is very cool. I implemented a slightly more complicated version of this with class guidance a while ago:
https://github.com/aestuans/mnist-diffusion
aswanson
9mo ago
This is where I see edge ai going. Minimal implementations running on embedded systems everywhere.
endymion-light
9mo ago
Full agree - this is where AI is finding it's main useful niche. Massive models are fun to use but specialization within embedded systems is the clincher.
sitkack
9mo ago
Having AI running in every edge location poses an existential threat. They will provide the peripheral sensors for a larger intelligence.
barbarr
9mo ago
Very cool showing the outputs of hyperparameter search. Hopefully this gets someone out of a tuning tarpit!
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