No More Low-Rank Detours: GPart and the Geometry of Fine-Tuning
Adapters are supposed to make fine-tuning simple. A team takes a large pretrained model, freezes most of it, trains a small adapter for customer support, another for invoice extraction, another for compliance review, and so on. The pitch is attractive: less storage, less training cost, faster iteration, fewer excuses from the infrastructure team. Naturally, the adapter becomes the small and tidy object everyone wants to manage. ...