• vivendi@programming.dev
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    5 hours ago

    and that you, yourself, can stand as a sole beacon against the otherwise regularly increasing evidence and studies that both indicate toward and also prove your claims to be full of shit?

    Hallucination rates and model quality has been going up steadily, same with multishot prompts and RAG reducing hallucination rates. These are proven scientific facts, what the fuck are you on about? Open huggingface RIGHT NOW, go to the papers section, FUCKING READ.

    I’ve spent 6+ years of my life in compsci academia to come here and be lectured by McDonald in his fucking basement, what has my life become

    • froztbyte@awful.systems
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      5 hours ago

      ah yes, my ability to read a pdf immediately confers upon me all the resources required to engage in materially equivalent experimentation of the thing that I just read! no matter whether the publisher spent cents or billions in the execution and development of said publication, oh no! it is so completely a cost paid just once, and thereafter it’s ~totally~ free!

      oh, wait, hang on. no. no it’s the other thing. that one where all the criticisms continue to hold! my bad, sorry for mistaking those. guess I was roleplaying a LLM for a moment there!

      • vivendi@programming.dev
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        5 hours ago

        You can experiment on your own GPU by running the tests using a variety of models of different generations (LLAMA 2 class 7B, LLAMA 3 class 7B, Gemma, Granite, Qwen, etc…)

        Even the lowest end desktop hardware can run atleast 4B models. The only real difficulty is scripting the test system, but the papers are usually helpful with describing their test methodology.

        • swlabr@awful.systems
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          5 hours ago

          👨🏿‍🦲: how many billions of models are you on

          🗿: like, maybe 3, or 4 right now my dude

          👨🏿‍🦲: you are like a little baby

          👨🏿‍🦲: watch this

          glue pizza

          • vivendi@programming.dev
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            5 hours ago

            The most recent Qwen model supposedly works really well for cases like that, but this one I haven’t tested for myself and I’m going based on what some dude on reddit tested

              • vivendi@programming.dev
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                5 hours ago

                Not making these famous logical errors

                For example, how many Rs are in Strawberry? Or shit like that

                (Although that one is a bad example because token based models will fundamentally make such mistakes. There is a new technique that lets LLMs process byte level information that fixes it, however)

                • froztbyte@awful.systems
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                  5 hours ago

                  oh, I get it, you personally choose not to make these structurally-repeatable-by-foundation errors? you personally choose to be a Unique And Correct Snowflake?

                  wow shit damn, I sure want to read your eventual uni paper, see what kind of distinctly novel insight you’ve had to wrangle this domain!

        • froztbyte@awful.systems
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          5 hours ago

          You can experiment on your own GPU

          you have lost the game

          you have been voted off the island

          you are the weakest list

          etc etc etc

          • vivendi@programming.dev
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            5 hours ago

            This is the most “insufferable redditor” stereotype shit possible, and to think we’re not even on Reddit

            • self@awful.systems
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              4 hours ago

              nah, the most insufferable Reddit shit was when you decided Lemmy doesn’t want to learn because somebody called you out on the confident bullshit you’re making up on the spot

              like LLM like shithead though am I right?

              • froztbyte@awful.systems
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                4 hours ago

                like LLM like shithead

                fuck, there’s potential here, but a bit too specific for a t-shirt?

                like like like idiot

                perhaps?

            • froztbyte@awful.systems
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              5 hours ago

              a’ight, sure bub, let’s play

              tell me what hw spec I need to deploy some kind of interactive user-facing prompt system backed by whatever favourite LLM/transformer-model you want to pick. idgaf if it’s llama or qwen or some shit you’ve got brewing in your back shed - if it’s on huggingface, fair game. here’s the baselines:

              • expected response latencies: human, or better
              • expected topical coherence: mid-support capability or above
              • expected correctness: at worst “I misunderstood $x” in the sense of “whoops, sorry, I thought you were asking about ${foo} but I answered about ${bar}”; i.e. actual, contextual, concrete contextual understanding

              (so, basically, anything a competent L2 support engineer at some random ISP or whatever could do)

              hit it, I’m waiting.

    • froztbyte@awful.systems
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      5 hours ago

      also

      I’ve spent 6+ years of my life in compsci academia

      eh. look.

      I realize you’ll probably receive/perceive this post negatively, ranging as anywhere from “criticism”/“extremely harsh” through … “condemnation”?

      but, nonetheless, I have a request for you

      please, for the love of ${deity}, go out and meet people. get out of your niche, explore a bit. you are so damned close to stepping in the trap, and you could do not-that.

      (just think! you’ve spent a whole 6+ years on compsci? now imagine what your next 80+ years could be!)