Mixture-of-Recursions (MoR): Revolutionizing AI Efficiency with Dynamic Token-Level Computation

Mixture-of-Recursions (MoR): A New Era of Efficient AI Language Models Introduction The rapid advancement of large language models (LLMs) has unlocked remarkable capabilities in natural language understanding and generation. However, the computational and memory demands of these models present significant challenges for both training and deployment. Traditional approaches to efficiency have typically focused on either parameter sharing or adaptive computation—but rarely both simultaneously. Enter Mixture-of-Recursions (MoR), a groundbreaking architecture that unifies parameter efficiency, dynamic token-level computation, and memory optimization. This innovation promises to deliver large-model performance without the associated costs, making advanced AI more accessible and scalable. In this article, …