Mixture-of-recursions delivers 2x faster inference—Here’s how to implement it

Mixture-of-recursions delivers 2x faster inference—Here’s how to implement it

Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without sacrificing performance.

Mixture-of-recursions delivers 2x faster inference—Here's how to implement it – #CryptoUpdatesGNIT

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…