#decentralized training

FlexOlmo introduces a modular framework that allows training large language models on private datasets without data sharing, achieving strong performance while respecting data governance and privacy constraints.

PrimeIntellect has launched INTELLECT-2, a 32-billion parameter reasoning model trained using decentralized asynchronous reinforcement learning, achieving superior performance and open-sourcing the full codebase.