this post was submitted on 02 Aug 2023
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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.

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[–] Zeth0s@lemmy.world 1 points 1 year ago (1 children)

They don't really chance the meaning of the words, they just look for the "best" words given the recent context, by taking into account the different possible meanings of the words

[–] Womble@lemmy.world 1 points 1 year ago* (last edited 1 year ago) (1 children)

No they do, thats one of the key innovations of LLMs the attention and feed forward steps where they propagate information from related words into each other based on context. from https://www.understandingai.org/p/large-language-models-explained-with?r=cfv1p

For example, in the previous section we showed a hypothetical transformer figuring out that in the partial sentence “John wants his bank to cash the,” his refers to John. Here’s what that might look like under the hood. The query vector for his might effectively say “I’m seeking: a noun describing a male person.” The key vector for John might effectively say “I am: a noun describing a male person.” The network would detect that these two vectors match and move information about the vector for John into the vector for his.

[–] Zeth0s@lemmy.world 1 points 1 year ago* (last edited 1 year ago)

That's exactly what I said

They don't really chance the meaning of the words, they just look for the "best" words given the recent context, by taking into account the different possible meanings of the words

The word's meanings haven't changed, but the model can choose based on the context accounting for the different meanings of words