BASIS: Balanced Activation Sketching with Invariant Scalars for "Ghost Backpropagation"

Implement the 'Ghost Backpropagation' technique to enable training on consumer hardware with massive sequence lengths. This is a high-value performance optimization for long-context models.

Suggested repo: ghost-torch

"Scale your models 10x with zero memory penalty."

Estimated effort: 150h