• FLeX@lemmy.world
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    1 year ago

    Because it’s too fragile and not ready to be use at scale without causing massive damage

    Not useless for now (even if i’d like to know more about the domains where it’s really “indispensable”), but as useless as a drill with a dead battery the day they decide to cut it.

    I don’t find it future-proof, as impressive as some results are

    • DocRekd@lemm.ee
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      1 year ago

      Nowdays LLM can be ran on consumer hardware, so the “dead battery” analogy fall short here too.

      • FLeX@lemmy.world
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        1 year ago

        With the same efficiency ? I’m interested in an example

        Why everyone using these crappy SaaS then ?

        • AdrianTheFrog@lemmy.world
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          1 year ago

          Llama 2 and its derivatives, mostly. Simple local ui available here.

          Not as good as chatGPT 3.5 in my experience. Just kinda falls apart on anything too complex, and is a lot more likely to get things wrong.

          I tried it out using the ‘Open-Orca/OpenOrcaxOpenChat-Preview2-13B’ 4 bit 32g model. Its surprisingly fast to generate. It seems significantly faster than ChatGPT on my 3060. (with ExLlama)

          There are also some models tuned specifically to actually answer your requests instead of the ‘As an AI language model’ kind of stuff.

          Edit: just tried a newer model and its a lot better. (dolphin-2.1-mistral-7b)

        • PoolloverNathan
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          1 year ago

          The weights themselves are private, and retraining takes too long for it to be practical.

        • DocRekd@lemm.ee
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          1 year ago

          For the same reason SaaS is popular in general: yes, you could get a VPS, install all the needed software on it, keep it up to date, oor you could pay a company to do all that for you.