​Sequential Attention: Making AI models leaner and faster without sacrificing accuracy

Implement a drop-in replacement for standard attention mechanisms that reduces memory footprint. This would be a high-impact utility for developers trying to run larger models on consumer hardware.

Suggested repo: seqattention

"Shrink your model's memory usage without dropping a single percentage point of accuracy."

Estimated effort: 40h