Tech experts are starting to doubt that ChatGPT and A.I. ‘hallucinations’ will ever go away: ‘This isn’t fixable’::Experts are starting to doubt it, and even OpenAI CEO Sam Altman is a bit stumped.
Tech experts are starting to doubt that ChatGPT and A.I. ‘hallucinations’ will ever go away: ‘This isn’t fixable’::Experts are starting to doubt it, and even OpenAI CEO Sam Altman is a bit stumped.
I did manage to write a back-propogation algorithm, at this point I don’t fully understand the math behind back-propogation. Generally back-propogation algorithms take the activation, calculate the delta(?) with the activation and the target output (only on last layer). I don’t know where tokens come in. From your comment it sounds like it has to do something in a unsupervised learning network. I am also not a professional. Sorry if I didn’t really understand your comment.
Mathematically, I have no idea where the tokens come in exactly. My studies have been more conceptual than actually getting down to the knitty-gritty, for the most part.
But conceptually, from my understanding, tokens are just a variable that is assigned a speculated fitness, then used as the new “base” data set.
I think chicken would go good in this, but beef wouldn’t be as good. My token is the next ingredient i am deciding to put in.
You guys should all check out Andrej Karpathy’s neural networks zero to hero videos. He has one on LLMs that explains all this.
Here is an alternative Piped link(s): https://piped.video/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ
Piped is a privacy-respecting open-source alternative frontend to YouTube.
I’m open-source, check me out at GitHub.