• Croquette@sh.itjust.works
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    4 days ago

    If you can give AI a deeply complex code base and ask it to find the likely cause of an obscure bug, and the solution is right, then you’ll have to acknowledge that some form of reasoning is going on, no?

    Absolutely not. LLMs are just prediction engines for words.

    If a LLM has the right answer, it only means that the model had the correct training data for your issue. Nothing more.

      • Muehe@lemmy.ml
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        4 days ago

        What do you mean? That’s exactly how LLMs work. That’s why they “hallucinate”.

        • architect@thelemmy.club
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          4 days ago

          No they hallucinate because they lose context but are tasked to answer anyways. They also don’t really lose context as much as they did a year ago.

          Their training data has nothing to do with it unless you’re using a local one without web access.

          • Zaktor@sopuli.xyz
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            4 days ago

            ML is my career and I’ve been doing it for decades. You’re wrong. LLMs hallucinate with full context.

              • Croquette@sh.itjust.works
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                3 days ago

                ML is still very useful and used everyday. LLM could have been a nice tool in niche applications, but instead, big capitalists ruined that for us, and torching the environment and wrecking the economy with it instead.

                • Nate Cox@programming.dev
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                  3 days ago

                  Oh yeah ML still has a place for sure, it just doesn’t have the bizarre excitement because it’s actually hard to do.

          • SnoopSqueak@lemmy.today
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            4 days ago

            Their training data has nothing to do with it unless you’re using a local one without web access.

            Did you know that the ones you access online are also trained?

            Did you know that any chatbot that can connect to the web was given that capability?

          • Muehe@lemmy.ml
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            3 days ago

            No they hallucinate because they lose context but are tasked to answer anyways.

            Nothing to do with context. Context windows are an LLM specific thing, but all neural networks no matter the kind or size “hallucinate” because they are a piece of linear algebra where you put numbers in on one side and get numbers out the other.