AI
A modular way to adapt AI models: transplanting trained “organs” between systems
A new study proposes a practical way to adapt large language models by moving trained slices of them between compatible models—much like transplanting an organ. The method promises better accuracy with less training and lets organisations share expertise without handing over their original data. If it works broadly, updating