I personally think it’s a lot of bs

  • @[email protected]
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    3411 months ago

    ML =/= AI. There are legit uses for ML that don’t have anything to do with LLMs and the cloud. I worked on an ML project 3 or 4 years ago to listen for fan noise that might indicate that it was about to fail soon. We trained a tiny GAN on good and bad noises. It runs on a tiny CPU, locally. Highly specialized work, and I have to imagine there are and will continue to be lots of similar opportunities to bring efficiencies by getting computers to make good observations and decisions - even if only about “simple” things like “does this thing seem like it’s about to break?”

      • @[email protected]
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        111 months ago

        Fair enough. ML ⊆ AI then. But these days when everyone talking breathlessly about AI taking away jobs they’re almost always taking about LLMs. This article is about ML in particular which is a different discipline with different applications.

        • @infinitepcg
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          211 months ago

          It’s not a different discipline, an LLM is an example of a machine learning model.

        • @[email protected]
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          111 months ago

          LLMs are neural networks which is literally ML.

          The LLM designation refers to what they are trained to do.

    • @Sanctus
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      511 months ago

      GANs are so much fun and so tedious. I trained one on dungeon generation in college. It sucked but it worked in the end mostly. I dont know exactly how an LLM works but GANs are way different.