For the future!

[qwertystars]

Is it possible to make a hierarchical system of models where one model classify the prompt into categories and then choose that specific model to respond to that prompt and when a prompt does not fit into any category then it will default to a model which will access the Internet for more info and rate which source is reliable and run another model which would parse the info and categorise it and add the data to one of the existing models so this way it trains it self and since we run only the models required to answer then we save on compute and storage resources? Or am I just thinking too much?