Zhu, R. (ECE) – From Neuromorphic Principles to Efficient Neural Language Architectures
While Large Language Models exhibit remarkable capabilities, their reliance on the standard Transformer architecture imposes prohibitive computational costs and quadratic memory complexity. To bridge the gap between biological efficiency and […]