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RewindAgain@futurology.today to Futurology@futurology.todayEnglish · 2 years ago

Researchers say their open-source AI model LLaVA, is as powerful as GPT-4 Vision, which was released only weeks ago.

llava-vl.github.io

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Researchers say their open-source AI model LLaVA, is as powerful as GPT-4 Vision, which was released only weeks ago.

llava-vl.github.io

RewindAgain@futurology.today to Futurology@futurology.todayEnglish · 2 years ago
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LLaVA
llava-vl.github.io
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  • Lugh@futurology.todayM
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    2 years ago

    One of the prevalent doomerist ideas about AI is that big tech will control it all in the future. Yet reality is behaving totally differently. Open-source AI seems only a few months behind big tech.

    • conditional_soup@lemm.ee
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      2 years ago

      Which is why big tech is currently trying to convince world leadership that only they can be trusted to properly align powerful AI models. It’s almost time to do the ol’ ladder pull.

      • SchizoDenji@lemm.ee
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        2 years ago

        Corporations would love open source Ai models since it saves them the money that they’d have to pay to someone like openai.

  • sudo22@lemmy.world
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    2 years ago

    Can this be easily self hosted?

    • beckerist@lemmy.world
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      2 years ago

      https://github.com/haotian-liu/LLaVA#install

    • 🇸‌🇵‌🇪‌🇨‌🇺‌🇱‌🇦‌🇹‌🇪‌🇷‌@lemmy.world
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      2 years ago

      The problem is most of these models need like a terabyte of VRAM… And consumers have about 8-24GB.

      • sudo22@lemmy.world
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        2 years ago

        Holy shit a terabyte?

        • 🇸‌🇵‌🇪‌🇨‌🇺‌🇱‌🇦‌🇹‌🇪‌🇷‌@lemmy.world
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          2 years ago

          This specific one says it’ll run on 24GB actually. But some are just crazy big.

          • Lugh@futurology.todayM
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            2 years ago

            There are smaller models that can run on most laptops.

            https://www.maginative.com/article/stability-ai-releases-stable-lm-3b-a-small-high-performance-language-model-for-smart-devices/

            In benchmarks this looks like it is not far off Chat-GPT 3.5.

            • BetaDoggo_@lemmy.world
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              2 years ago

              It’s not even close, less than half of 3.5’s 85.5% in ARC. Some larger Open models are competitive in Hellaswag, TruthfulQA and MMLU but ARC is still a major struggle for small models.

              3Bs are kind of pointless right now because the machines with processors capable of running them at a usable speed probably have enough memory to run a 7B anyway.

  • BetaDoggo_@lemmy.world
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    2 years ago

    It’s a solid model but comparing to gpt4 immediately removes any credibility that they had.

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