Apple's machine learning research team quietly releases MLX, an array framework to train and deploy ML models on Apple silicon, available on GitHub
Jonny Evans / Computerworld :
Computerworld Jonny Evans
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Discussion
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@luokai
@luokai
on threads
Finally, Apple is making strides in open-source artificial intelligence! They have just launched MLX, a PyTorch-style neural network framework optimized for Apple Silicon, such as MacBook models equipped with M-series chips. MLX Source: https://github.com/... Well-documented, s…
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@awnihannun
Awni Hannun
on x
Just in time for the holidays, we are releasing some new software today from Apple machine learning research. MLX is an efficient machine learning framework specifically designed for Apple silicon (i.e. your laptop!) Code: https://github.com/... Docs: https://ml-explore.github.io…
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@deliprao
@deliprao
on x
NEWS: Apple just entered the AI open source arena by quietly releasing their new DL framework called MLX! It runs code natively on Apple Silicon with a single pip install and no other dependencies. https://github.com/... Sharing what I discovered from this initial release: [image…
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@davewiner
Dave Winer
on x
@om I'd be very suspicious of lockin and fud here, knowing apple and guessing how far behind they are. ;-)
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@om
@om
on x
Looks like Apple is doing some “AI” things to help people do AI things on their computers. This is a good development thing for all AI tinkerers :) https://om.co/...
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@benbajarin
Ben Bajarin
on x
Subtly, very interesting. Or not so subtly if you are in AI academia. It has been a challenge to get ML/LLM models to run on ANE (Apple Neural Engine). Despite @MaxWinebach's best efforts to port models to ANE.
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@ryancarson
Ryan Carson
on x
Apple is starting to show their hand in the AI/ML space. MLX, developed by Apple, is a new machine learning framework tailored for Apple silicon. It merges familiar aspects of NumPy and PyTorch with unique features like lazy computation, dynamic graph construction, and a...
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@ylecun
Yann LeCun
on x
@awnihannun Nice!
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@awnihannun
Awni Hannun
on x
The video is a Llama v1 7B model implemented in MLX and running on an M2 Ultra. More here: https://github.com/... * Train a Transformer LM or fine-tune with LoRA * Text generation with Mistral * Image generation with Stable Diffusion * Speech recognition with Whisper [video]
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@krishnanrohit
Rohit
on x
Feels a pretty big deal
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@angeloskath
Angelos Katharopoulos
on x
I am really excited about our latest work! A simple efficient framework to experiment with modern neural networks even on your laptop! 12 lines to write a transformer LM 🥳 [image]
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@drjimfan
@drjimfan
on x
This may be Apple's biggest move on open-source AI so far: MLX, a PyTorch-style NN framework optimized for Apple Silicon, e.g. laptops with M-series chips. The release did an excellent job on designing an API familiar to the deep learning audience, and showing minimalistic examp…
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@jsusskin
Josh Susskind
on x
I'm delighted to see MLX come to life within our Apple ML research team, and I'm really excited to see how people will use and build on it now that it's been released! Lots of good things happening!