FLEXOLMO: LLM TRAINING WITHOUT SHARING RAW DATA

Summary from the TLDR AI newsletter

The first of its kind, this architecture allows data contributors to activate or deactivate their contributions in real-time without retraining the entire model, enabling instant modification. The system trains separate expert modules on private datasets using a frozen public model as an anchor point, then merges them via domain-informed routing without requiring joint training.