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Re:ChatGPT for Teams by aftoprokrustes on Thursday January 11, 2024 @05:48AM (#38950480)
This is actually hilarious. It looks like a student who did not learn for the exam but still tries their best to scratch a point or two by filling the page with as many reasonnable sounding statements (a.k.a. "bullshit") as they can. Not that I expect more of a language model, no matter how "large".
Re:ChatGPT for Teams by siva7 on Thursday January 11, 2024 @08:01AM (#38951655)
This makes it actually more human (as in this is how a real student would have reacted) and therefore AGI-like than i would have anticipated.
Re:ChatGPT for Teams by PoignardAzur on Thursday January 11, 2024 @12:23PM (#38955364)
> Not that I expect more of a language model, no matter how "large".

That's a weirdly dismissive statement. The fundamental problem is that a lot of these terms are from after the AI's cutoff point. It's perfectly able to handle terms like "Emacs", "RenTech" or "MSFT", and it can guess that "4070 Series" probably refers to a GPU.

ChatGPT in a few years will probably be perfectly able to produce the correct answers.

(Actually, ChatGPT consistently claims its current cutoff is April 2023, which should let it give a better answer, so I'm taking a few points off my explanation. But it still feels like the most probable one.)

Re:ChatGPT for Teams by fragmede on Thursday January 11, 2024 @12:56PM (#38955932)
GPT4 is able to look terms up on the Internet if you ask, and will give you a list of specs on it, with a cite so you know it's not hallucinating them.

"4070 Super": https://chat.openai.com/share/0aac7d90-de65-41d0-9567-8e56a0...

"Mixtral-8x7": https://chat.openai.com/share/8091ac61-d602-414c-bdce-41b49e...