Knowledge Distillation

Knowledge distillation is like having a experienced teacher simplify complex lessons for a new student. It's a technique where a smaller, simpler model learns from a larger, more complex one, retaining the essential knowledge but making it more efficient. This helps deploy AI models in environments with limited resources, such as mobile devices or embedded systems. By distilling the knowledge, the smaller model can still make accurate predictions without needing the full complexity of the original model.