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Comment on ELI5 How does chatgpt do its shit?

It is literally the same exact kind of algorithm that predicts the next word you will type on your phone based on what’s already been typed. The differences are that it has a much larger training dataset, which means more accurate predictions, it processes based on the entire body of text that has already been given (including the hidden prompt and previous messages), and that it doesn’t always predict whole words, but instead clusters of characters.

If you want a more general overview of how machine learning works in general, this is a good video series to watch: www.youtube.com/watch?v=aircAruvnKk

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QuaternionsRock@lemmy.world ⁨1⁩ ⁨year⁩ ago
Me:

You are a talented comedian. Generate some jokes or riddles that rely on wordplay.

ChatGPT 4:

Sure, here are a few wordplay-based jokes and riddles:

Why don’t scientists trust atoms? Because they make up everything!

I told my wife she should embrace her mistakes. She gave me a hug.

What do you call fake spaghetti? An “impasta.”

I’m reading a book on anti-gravity. It’s impossible to put down!

Why was the math book sad? Because it had too many problems.

Enjoy these light-hearted plays on words!

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- bionicjoey@lemmy.ca ⁨1⁩ ⁨year⁩ ago
  All of those jokes are plagiarized. It doesn’t actually understand the jokes, it’s just repeating ones that it’s seen before. Ask it to explain why some of these are funny.
  
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  - shasta@lemm.ee ⁨1⁩ ⁨year⁩ ago
    Seriously. I’ve literally heard all of those jokes before. It may have even stolen them all from a single website.
    
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MeatsOfRage@lemmy.world ⁨1⁩ ⁨year⁩ ago
Great video! Thanks for posting that

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- guyrocket@kbin.social ⁨1⁩ ⁨year⁩ ago
  I agree, that was good.
  
  My major takeaway is that neutral networks, and AI in general, are mostly pattern recognition with a little bias and weighting thrown in to improve accuracy.
  
  And that is why I question all the supposedly amazing things people seem to think it will do and many of the applications of AI.
  
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  - bionicjoey@lemmy.ca ⁨1⁩ ⁨year⁩ ago
    That’s exactly right. It is a statistical model that is based on some training dataset. The quality of the predictions is only as good as the completeness and bias of the training set.
    
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    dustyData@lemmy.world ⁨1⁩ ⁨year⁩ ago
    And it is one of the major issues with giving AI and the corporations who make them free reign to “think” and inform decision making. Feed it a racist dataset, and the AI will be racist. Feed it misinformation, and the AI will only reproduce misinformation.
    
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  - Acamon@lemmy.world ⁨1⁩ ⁨year⁩ ago
    That’s my take as well, I would just like to know more about the weighting/bias.
    
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    bionicjoey@lemmy.ca ⁨1⁩ ⁨year⁩ ago
    Weighting and bias are based on the training dataset. And the training dataset of ChatGPT is mostly internet content, literature, social media discussions, articles, etc.
    
    So the inherent biases are going to be limited in the same way. For example, ChatGPT is not good at generating or interpreting code written in Malbolge, despite the fact that this language is meant to be relatively easy to understand for a machine yet difficult for a human to understand. Because it isn’t processing like a machine, it is processing text like a person.
    
    It also is bad at understanding wordplay like puns since wordplay requires a simultaneous understanding of the meaning of a word as well as the linguistics that underly that word. It is decent at generating puns which already exist and are out in the world, but it can’t creatively generate new ones or interpret novel puns or other wordplay, since that would require a deeper understanding of the language.
    
    Looking at the things it is bad at can give a great insight into its limitations, and in turn into how it works.
    
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