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

Sequential Attention is a new algorithmic approach that optimizes AI models by making them more computationally efficient while maintaining accuracy. This theoretical advancement in AI algorithms could lead to faster model inference and reduced computational costs.