Mixture-of-recursions delivers 2x faster inference—Here’s how to implement it
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Researchers at KAIST AI and Mila have introduced a new Transformer architecture that makes large language models (LLMs) more memory- and compute-efficient. The architecture, called Mixture-of-Recursions (MoR), significantly improves model accuracy and delivers higher throughput compared with vanilla transformers, even when constrained by th