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[–] -1 points 3 months ago* (last edited 3 months ago) (15 children)

It's not an LLM IIRC (the deepl one at least, Google now uses gemini)

Edit: apparently Deepl has been converted to an LLM since some time

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  • [–] 8 points 3 months ago (14 children)

    what in blazes do you think is a «large language model»?

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  • [–] 2 points 3 months ago (3 children)

    Deepl was around way before LLMs. It was still made with neutral networks trained on research papers and the like but it couldn't be communicated with or generate stuff for you. So u can see why axolotl thought that it didn't use LLMs. However it seems to nowadays use LLMs

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  • [–] 1 point 3 months ago (2 children)

    It was still made with neutral networks trained on research papers
    Deepl was around way before LLMs

    …
    What makes one think NNs are not LLMs?

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  • [–] 2 points 3 months ago*

    LLMs are NNs for whoever is wondering btw

    Edit: i wanna add that NNs used specifically for translations are way less impactful on the enviroment, i don't know how deepl got the data but google would crowdsource them because it's just wayy easier to do with something so specific and gives higher quality than stolen stuff

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  • [–] 1 point 3 months ago* (9 children)

    All LLMs are AIs but not all AIs are LLMs (and LLMs are what y'all are hating)

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  • [–] 1 point 3 months ago (8 children)

    not all AIs are LLMs

    Pray tell what AI isn't trained on ❝large contested data❞

    LLMs are what y’all are hating)

    🧵, blatantly. But asset diffusers from stolen assets are also highly discouraged, as they are illegal, and it demonstrated the planet the two classes than ever before: corporate power can lobby copyright infringement, while everyone else cannot. Many hate it for quality reasons. I hate it because it's fascism in its purest form: appropriating assets without consent.

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  • [–] 1 point 3 months ago* (last edited 3 months ago) (7 children)

    Pray tell what AI isn't trained on ❝large contested data❞

    Search Engines (no, i don't mean that bullshit google did, i mean any search engine before 2020), reccomendation systems(many other algorithms too), OCR, etc etc

    🧵, blatantly. But asset diffusers from stolen assets are also highly discouraged, as they are illegal, and it demonstrated the planet the two classes than ever before: corporate power can lobby copyright infringement, while everyone else cannot. Many hate it for quality reasons. I hate it because it's fascism in its purest form: appropriating assets without consent

    I can only agree, i will be a "fan" of LLMs only when someone decide to train them with data collected legally, which no one does apparently, i hope it gets easy and economic to train LLMs, even stupid ones on your own data, so i could train one on my git repos or some documentation

    Edit: removed "translation" because i forgot that they use (ofc) NNs

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  • [–] 1 point 3 months ago* (last edited 3 months ago) (6 children)

    Search Engine([…]i mean any search engine before 2020), reccomendation systems(many other algorithms too), OCR,

    … how do you think these aggregating sorters are trained?
    The OCR argument is contradictory.

    train them with data collected legally

    Fascists are already colluding to make their breaches legal.

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  • [–] 1 point 3 months ago (5 children)

    Fascists are already colluding to make their breaches legal.

    Well, i mean, legal like before the fascist scum tried to make the illegal legal

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  • [–] 1 point 3 months ago (4 children)

    sure.
    But be aware crawlers (search engines), OCR, and even suggestions sorters are trained on data, especially adversarially. Some infringing IP, some self-generated.
    OP got smacked for using a LLM, when e could have hired localizers, even 🧵.

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  • [–] 1 point 3 months ago (3 children)

    Can you tell me what 🧵 does mean?

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