Teacher Networks

Teacher networks are advanced AI models trained to perform a specific task, such as recognizing images or understanding speech. They serve as a "teacher" by providing guidance or knowledge to a smaller, less complex model called a "student." The teacher's expertise helps the student learn more efficiently or accurately, often by sharing insights or detailed outputs. This process, known as "knowledge distillation," improves the student's performance without requiring it to be as large or resource-intensive as the teacher. Essentially, teacher networks act as a source of high-quality information to help simpler models learn better.