Knowledge distillation

Knowledge distillation is a technique where a large, complex artificial intelligence model teaches a smaller, simpler model to perform the same task by learning from the larger model's outputs rather than just the raw data. Think of it like an expert mentor condensing their years of knowledge into key lessons for a student, allowing the student to learn efficiently without having to study everything from scratch. This process creates smaller AI systems that are faster and cheaper to run while maintaining much of the performance of the original larger model.