Thanks! I am familiar with attention, linear attention, flash attention etc... just not up to speed on how it is scaled to 1M or 10M context windows.
A colleague from a discord I spend time in threw together this video a year or so ago, might be helpful as a first watch before a deep dive: https://www.youtube.com/watch?v=IZYx2YFzVNc
Covers positional encoding as a general concept first, then goes into rotary embeddings.