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A jargon-free explanation of how AI large language models work
(arstechnica.com)
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It does make me vaguely curious what happens if you try to make one of these on the more powerful end explain step by step how its own program works. I dont really expect it to be accurate, given that if people dont know how the thing works, it probably wont find much about that in it's training data, but if what it learns ultimately enables it to make connections about how the real world works to some degree, could it figure out enough to give even marginally useful hints?
Not really, it’s super fucking expensive to train one of these, on-line training would simply not be economically feasible.
Even if it was, the models don’t really have any agency. You prompt, they respond. There’s not much prompting going on from the model, and if there was, you can choose to not respond, which the model can’t really do.
Wrong, the cat is out of bag, it takes one leak to do some serious impact to the whole industry.
https://www.semianalysis.com/p/google-we-have-no-moat-and-neither
You can try the various free open source version trained by community here: https://chat.lmsys.org/
You can train an effective one for a few hundred bucks now.
https://crfm.stanford.edu/2023/03/13/alpaca.html