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Tiny-diffusion: A minimal implementation of probabilistic diffusion models | Better HN
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Tiny-diffusion: A minimal implementation of probabilistic diffusion models
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github.com
96 points
BraverHeart
11mo ago
5 comments
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aestuans
11mo 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
11mo ago
This is where I see edge ai going. Minimal implementations running on embedded systems everywhere.
endymion-light
10mo 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
10mo ago
Having AI running in every edge location poses an existential threat. They will provide the peripheral sensors for a larger intelligence.
barbarr
11mo ago
Very cool showing the outputs of hyperparameter search. Hopefully this gets someone out of a tuning tarpit!
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