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Kuldeep Singh Sidhu

singhsidhukuldeep

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Running billion parameter models, sometimes we forget what it all is! ๐Ÿค”๐Ÿ’ก

Matrix multiplication ๐Ÿงฎโœจ

While there are multiple plays on memory management and caching to speed it up! ๐ŸŽ๏ธ๐Ÿ’พโšก

The naive way of Matrix multiplication becomes even more fascinating the bigger these models get! ๐Ÿคฏ๐Ÿ“ˆ

QKV for the win! ๐Ÿ†๐Ÿ”‘๐Ÿ“š

GitHub: https://github.com/wentasah/mmul-anim
Slides: https://cw.fel.cvut.cz/wiki/_media/courses/b4m36esw/esw09_2019.pdf ๐Ÿ“‘๐ŸŽ“
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Caffe 2 started it, TensorFlow brought it to the masses but PyTorch perfected it! โœจ

Good folks at PyTorch are just wizards ๐Ÿง™โ€โ™‚๏ธ. Along with producing one of the best Deep Learning libraries of all time, they just dropped the "PyTorch Documentary" ๐ŸŽฅ

A must-watch! It covers the beginning to now:
- Caffe 2 โ˜•
- Torch (with Lua) ๐Ÿ”ฅ
- Tensorflow ๐Ÿ”„
- PyTorch ๐Ÿ”ฅ
- Taffe IR (later became ONNX - Open Neural Network Exchange) ๐Ÿ”ง

Full Official PyTorch Documentary: Powering the AI Revolution: https://youtu.be/rgP_LBtaUEc

Interesting quote: "PyTorch does not fight for the fastest performance but the easiest user experience!" ๐ŸŒŸ

That's what Python ๐Ÿ feels like...

You got to thank @Meta for open-sourcing it! ๐Ÿค

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