Brython, codetainer, flask, with ngrok using pybrain3 to imitate GPT-3/4:

We know how to use GPT-3 & GPT-4.

But it has a couple of hang-ups and points of confusion due to a lack of training data. In this, you'll find a way to build your own model the simple way as well as how to simply get it to the public internet.

The training data you give it and the ability to train itself to correct its mistakes also comes down to implementation. What this allows for is anyone to train their model, but also gives the option for others to train it as well. This might mean that your implementation has to abstract from the user's input and prior input to retrain itself to correct the mistakes it made. This includes parsing and understanding the request beyond prediction modeling.

Beyond that, it should be easy as pie to connect the dots.


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