I can’t see it happening tbh, but like the USA government discussed putting restriction on AI development, I think OpenAI or some other companies asked them to do so!? And there were short/reels of high profile developers hyping out the fact that “we don’t know what we’re doing”, and one of them quit his job. So why is all that hype? Is the “Matrix” route actually a possible future ?

  • fckreddit@lemmy.ml
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    3 days ago

    This. LLMs are great for information retrieval tasks, that is, they are essentially search engines. Even then, they can only retrieve information that they are trained on, so eventually, the data can get stale and the model will require retraining on more recent data. Also, they are not very good with tasks that require reasoning such as solving complex engineering problems.

    • timmytbt@sh.itjust.works
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      2 days ago

      I somewhat agree with that (good for information retrieval).

      I say somewhat because they will downright lie , until/unless you call them out.

      You need to have an idea of whether what they are telling you is in fact true or not.

      I find them very useful for programming snippets because a) I can usual grok whether what they’ve provided is what I’ve asked for and b) the proof is in the pudding (does the code do what I want?)

      • fckreddit@lemmy.ml
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        2 days ago

        That is because they don’t have any baked in concept of truth or lie. That would require labelling each statement as such. This doesn’t scale well for petabytes of data.

    • zaknenou@lemmy.dbzer0.comOP
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      2 days ago

      LLMs are great for information retrieval tasks

      I agree with that

      Also, they are not very good with tasks that require reasoning such as solving complex engineering problems.

      and that too