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Oh, I see. One guess for GPT4 is that it's an amalgamation of models. So you would have various models trained more specifically like the ones you mentioned, a
by firtoz 3y ago
Oh, I see.
One guess for GPT4 is that it's an amalgamation of models. So you would have various models trained more specifically like the ones you mentioned, and you ask them all to start answering the query, then you choose which one produces better results, and then you present that to the user.
Alternatively you can have a decider model that knows what kind of queries goes to what specialised one, then have that as a "hidden layer", whether it be in the application level or "neuron layers".
- broast 3y agoIf you've checked out the docs for the assistant api, you can intuit that there is a higher level system which decides which subsystems to use to respond. The assistant determines whether to use a tool (vision, code interpreter, search, retrieval), as well as which code or text language model to use to generate the response.