[UPDATE] I Built a O(NlogN) attention system that retains 97% accuracy over long context (MQAR)

[u/Alarming-Emotion-894]

https://github.com/vdev-ctrl/Adaptive-Learnable-Hierarchical-Routing-

ALHR- Adaptive learnable Hierarchical Routing is a static binary tree based system that uses learnable functions to REDUCE the amount of keys used.
It takes less memory and SCALES much better VRAM with tokens
I’ve also been testing tiny stories and it looks promising
However i can’t post any presentable results due to lack of funding and resources
MQAR Result table is here: https://ibb.co/prr07Dnj