Knowledge distillation is a paradigm in which a compact “student” network is trained to emulate the performance of a larger, more complex “teacher” network. By transferring dark knowledge—subtle ...

What if the most powerful artificial intelligence models could teach their smaller, more efficient counterparts everything they know—without sacrificing performance? This isn’t science fiction; it’s ...