Package Management and Reliability for AI Models (RealM)

The project aims to improve the updating of machine learning models, especially in federated learning where a central “super model” manages multiple instances. Inspired by software testing, RealM works to prevent updates that may cause faulty behavior. The project also plans a central system, like a package manager, to organize models, manage their versions, documentation, and performance tests over time.