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[–] 6 points 5 months ago (6 children)

If they ever get around to changing fundamentally how it works, I'll give it another try. I don't like having to second guess everything it says, defeats the entire purpose of trying to use it If I have to verify everything. We made a similar but pared down output generator in college once, that worked in essentially the same way. We fed it a bunch of Freida Khala poems so all it would output was strange fragments of those. But that experience taught me, perhaps too well, how these things work under the hood. I can't imagine how many guardrails and parameters they have set up just to get it functional.

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  • [–] 0 points 5 months ago (5 children)

    I doubt OpenAI will fundamentally change how GPT works, but you never know. Possibly the next gen of LLM's will learn from the failings of this generation and be fundamentally constructed better.

    Not saying I don't realise the cost, either. Better LLM's will arguably have a much worse outcome for humanity. I'm just talking here about personal ways to get some use out of them. I actually started writing an article about how this might help in brainstorming sketches, but I'm probably not going to ever finish / publish it.

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  • [–] 3 points 5 months ago (4 children)

    For applications like language translation they're the best automated tools we have. But its too little to justify how over extended the investment into it is.

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

    Would DeepL actually be considered an LLM?

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  • [–] 2 points 5 months ago* (1 child)

    Yes. An LLM is just a model trained on a large corpus of text, which DeepL absolutely is. It uses a transformer architecture – which literally could not work without it.

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