Can someone tell me what is the difference between Jev and a normal neural network that does classification ?
My understanding is: it takes text input and it does one shot classification (no training data)
Yes, this is essentially it.
As a corollary, the output classes can be any set, rather than needing to be set before training.
Yes, this is essentially it.
As a corollary, the output classes can be any set, rather than needing to be set before training.