Distillation (Model Distillation)

Distillation is a training method in which a smaller model (the student) learns to mimic the behavior of a larger, more complex model (the teacher). The student model focuses only on the outputs and patterns most relevant to the task, discarding unnecessary complexity. This approach enables the creation of efficient, domain-specific models suitable for production with reduced compute and storage requirements.