1. Maybe a bug for me, need some testers.

Instructions for gpts stop being followed by my gpts at 750 words, 4600characters. 20 less and it follows them, 20 more and it acts completely different almost like a default chatbot.

  1. Not sure exact details but gpts knowledge has limits similar to the bots before. Max 10 to 20 document uploads. Max file size 500mb each i think. And it seems there is a context window problem in retreiving excessively wordy files, i dont know the exact limits but in the bots before gpts 50,000 lines of text in a single document would make them ignore the files all together. It seems gpt has similar limitations but im interest to know how many words or tokens we can have in a document and it be used properly so we can max it out
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Im no coder but i had an idea to fix the document size problem, which would be to have an gpt a forward your prompt to gpt b, who finds 5k worth of info in the documents specific to the users request, passes it back to gpt a and gpt a searches and condeses the points in that with its limited context window. This can happen multiple times in order to retrieve info from large documents

Or, python can do loads of things with text using APIs but what if instead of APIs u had a chatbot help it so that u can basically extract info from anywhere with code already ready to go straight into chatgpt succinct and distilled in a form 1/3rd of the size and 5x as dense in info so it can concentrate on retrieval instead of search and wasting all its tokens in the process. Maybe a big company with a supercomputer could run the model all over the net to start a kind of internet number 2 of condensed info for education?

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