Making Knowledge Distillation Cheap Enough to Run at Scale

Reducing the computational cost of knowledge distillation is crucial for making advanced AI models more accessible and deployable across a wider range of hardware. This innovation democratizes the use of powerful AI by lowering the barrier to entry for fine-tuning and specialization.