
The current proliferation of highly efficient neural networks represents a fundamental shift in how computational intelligence is distributed across the global digital infrastructure, moving away from centralized monolithic structures toward agile, specialized systems that operate with unprecedented speed. AI model distillation has emerged as the primary mechanism for this transition, transforming the way developers approach the trade-off between performance and










