> incredibly diverse, and results are going to be highly dependent on which dataset was cherry-picked for benchmarking
This naturally comes to multi-model solution under one umbrella. Sort of MoE, with selector (router, classifier) and specialized experts. If there is something which can't be handled by existing experts then train another one.
This naturally comes to multi-model solution under one umbrella. Sort of MoE, with selector (router, classifier) and specialized experts. If there is something which can't be handled by existing experts then train another one.