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Conversation

Sebastian Raschka

True. Little fun fact though: Apple just released a Python package for converting Stable Diffusion models from PyTorch to Core ML, to run Stable Diffusion faster on hardware with M1/M2 chips: github.com/apple/ml-stabl (So, maybe there's more to come ...?)

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It kinda feels like Apple is asleep at the AI wheel and I think that could be the moment we look back on and think: why didn't they invest way more?

1:38 PM · Dec 8, 2022

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It appears that the OSS ports were faster. CC.

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Sebastian Raschka

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and

Yeah, I wish there was more of a (academic) side-by-side comparison with related works :)

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I think Apple looks at specific niche features for ML. They are inclined to productise ML over research. Apple Music Sing is one latest example

Apple introduces Apple Music Sing

Apple Music Sing is an exciting new feature that allows users to sing along to their favorite songs with real-time lyrics and adjustable vocals.