In machine learning, a teacher model is a large, pre-trained neural network that guides a smaller student model during training. Through knowledge distillation, the teacher shares its learned patterns, enabling the student to achieve high accuracy with fewer parameters. Developers benefit from faster, lighter models, while businesses gain efficient AI for deployment on resource-constrained devices.
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