Comment on 100% human-made art by Andrea Guzzetta

• mad_lentil@lemmy.ca ⁨4⁩ ⁨days⁩ ago

  Rightrightright, I mean they can help with that stuff by churning though large sets of data or by statistical analysis to look for early signs of cancer, etc.

  I’m not a researcher and I don’t use them myself, but I know a thing or two about how LLMs work. Could be you could school me though if you know a lot.

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  • Strawberry@lemmy.blahaj.zone ⁨4⁩ ⁨days⁩ ago

    I’m just saying the models used in medical imaging and protein folding, to use your examples, are not LLMs, but very different dedicated medical imaging models or protein folding models. Still falls under the overarching umbrella of AI/ML, but not really any more relevant to language models. LLMs also aren’t a very relevant tool for big data or statistical analysis. Even with an agent harness, they could be used to write scripts that a human could also write, but couldn’t directly do any sort of reliable statistical analysis.

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    • mad_lentil@lemmy.ca ⁨4⁩ ⁨days⁩ ago

      Oh OK I wasn’t aware of that. Actually I wondered as I was writing my comment how an LLM would compare to more tightly fitted model.

      Well there goes my one example. Is there anything they’re legitimately good for? I’ll admit they seem good at finding “fuzzy” connections, and their text and image generation capabilities are impressive even if they aren’t my cup of tea—mostly because of the externalities.

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