Knowledge Distillation is a machine learning technique in which a smaller model learns to replicate the behavior of a larger, more powerful model. The resulting model requires fewer computational resources while maintaining much of the original performance.
Voice AI providers use Knowledge Distillation to deploy speech recognition, language models, and voice assistants on edge devices, mobile applications, and latency-sensitive production environments.