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jspisak
searching Neon…
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by
jspisak
3y ago
Yeah - different projects have different goals and licenses aren't one size fits all. Depending on the project, type of technology, goals, etc.. we will select or even develop the right license that aligns with those goals. Hope this h
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jspisak
3y ago
Yep - here is the site: https://www.metaconnect.com/en/home
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jspisak
3y ago
Partner integrations will follow. For now we just have the weights available. But don't worry, this community moves fast!
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jspisak
3y ago
It would be interesting to understand if a ~30B Llama-2 model would be interesting and for what reasons.
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by
jspisak
3y ago
If you watch the Connect talks, I'll be speaking about this..
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jspisak
4y ago
thanks for posting this - you can learn more here: https://ai.facebook.com/blog/protein-folding-esmfold-metagen... Cheers!
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jspisak
4y ago
It's really awesome to finally see this landed. Congrats to the team and to the PyTorch community!
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TorchServe and TorchElastic-Kubernetes, PyTorch libs for serving and training
(medium.com)
5 points
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jspisak
6y ago
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0 comments
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by
jspisak
7y ago
PyTorch Mobile is a start and is available for iOS and Android. Given folks like PFN and Microsoft are (or will be heavy contributors) i would expect support for more devices to broaden. Have you tried it out yet? No need for a separate set
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jspisak
7y ago
We have been working with G on TPU support for PyTorch. Have you tried it out? https://github.com/pytorch/xla
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jspisak
7y ago
Finally the solution to all of your PyTorch citation problems! :)
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jspisak
7y ago
Yeah, generally a cloud based approach to training models is better than on your mac. AMD folks have been working on RoCM for some time and it works reasonably well for common models but the AMD GPU HW isn't pervasive like Nvidia GPUs
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PyTorch developer ecosystem expands, 1.0 stable release now available
(code.fb.com)
15 points
by
jspisak
8y ago
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0 comments
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jspisak
10y ago
Amazon backing MXNet is pretty awesome and having it be a 'real' open project is great for the community..