Knowledge distillation is the process of transferring knowledge from a large, complex AI model to a smaller, faster one without losing much performance. This makes it easier to deploy voice AI on devices with limited resources, such as mobile phones or edge devices. It helps maintain speed and efficiency while keeping accuracy high.
