Your comment made we wonder what happens when the AI company's new model does not have a dramatic improvement and have just knowledge updates, and majority of the users does not upgrade?
Given the enormous cost of training, would it be worth training new models then?
> Given the enormous cost of training, would it be worth training new models then?
I'm not an expert, but is this even an option? I mean models must be refreshed with latest knowldge base periodically even without algo/design improvements, otherwise the lag become too noticeable and it will hurt users and their use-case.
Given the enormous cost of training, would it be worth training new models then?