• reddfugee@lemmy.world
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    14 days ago

    I think it’s directed at the “I don’t use commercial LLMs, I just run small local models” crowd

      • tyler@programming.dev
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        14 days ago

        Those smaller models are trained on the larger models. They take just as many resources to train and then you add on more training, so they’re literally worse than the big models.

        • Skullgrid@lemmy.world
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          14 days ago

          What if your power comes from renewables? And if you’re training private data?

          • ayyy@sh.itjust.works
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            14 days ago

            And what if tech oligarchs weren’t evil and used this new technology to make lives better instead of concentrating capital? We don’t have that either so there’s no use speculating.

            Snark aside, I think you’re underestimating just how much data it takes to make these models work. There is no such thing as enough “private” data for training.

            • Skullgrid@lemmy.world
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              14 days ago

              There is no such thing as enough “private” data for training.

              what the fuck are you on about? You can build local datasets and train additional LORAs locally to have more relevant outputs, and it doesn’t go back to the creators of the original weights.

              • ayyy@sh.itjust.works
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                14 days ago

                You are describing fine tuning, no? Which still requires a base model that was trained on a massive amount of other data.

          • tyler@programming.dev
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            13 days ago

            Then they still used just as many resources? All these local models are distillations of the big models.