TurboQuant: Redefining AI efficiency with extreme compression

https://research.google/blog/turboquant-redefining-ai-efficiency-with-extreme-compression/

TurboQuant: Redefining AI efficiency with extreme compression

I did not understand what polarQuant is.

Is is something like pattern based compression where the algorithm finds repeating patterns and creates an index of those common symbols or numbers?

The way I understand it, it's a way of compressing vectors by switching from their per-component representation to polar coordinates representation, where the nearby vectors are clumped together to a single line, allowing to describe them by different lengths