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Nice article that explains product quantization very well!
PQ is really a nice compression technique. I implemented PQ and Optimized PQ [1] a while back in our word embedding package for Rust:
https://github.com/finalfusion/finalfusion-rust/
https://github.com/finalfusion/reductive/
Particularly Optimized PQ was effective in reducing vector sizes ~10 times with virtually no reconstruction loss. This made it much easier to ship models (no more 3GB embedding matrix with a neural net that is just a few megabytes large).
[1] http://kaiminghe.com/publications/pami13opq.pdf
Nice article that explains product quantization very well!
PQ is really a nice compression technique. I implemented PQ and Optimized PQ [1] a while back in our word embedding package for Rust:
https://github.com/finalfusion/finalfusion-rust/
https://github.com/finalfusion/reductive/
Particularly Optimized PQ was effective in reducing vector sizes ~10 times with virtually no reconstruction loss. This made it much easier to ship models (no more 3GB embedding matrix with a neural net that is just a few megabytes large).
[1] http://kaiminghe.com/publications/pami13opq.pdf
They seem to be done using Excalidraw [0]. I'm not 100% sure about the animated one, probably excalidraw-animate [1]
[0] https://excalidraw.com/