knowledge distillation

Knowledge distillation is a process where a large, complex AI model (teacher) trains a smaller, simpler model (student) to perform similarly. The teacher's knowledge—its predictions and insights—is used to guide the student, helping it learn more effectively than if trained alone. This technique enables the smaller model to achieve high performance while being more efficient, faster, and easier to deploy, making advanced AI capabilities accessible for practical applications where resources are limited.