These updates, introduced during its DevDay conference this week, include capabilities such as model distillation and prompt caching, which are already offered by rivals. Model distillation ...
However, suppose these learnings can be transferred to small models through a process called knowledge distillation, in which the student model learns from a large, more complex teacher model.
To tackle this challenge for recognizing cotton diseases on the edge device, we adopt knowledge distillation to compress the big networks, aiming to reduce the number of parameters and the ...