• Showroom7561
    link
    fedilink
    arrow-up
    3
    ·
    9 months ago

    Is there a model you prefer? I’ve been throwing the exact same question to different models and they seem to all give a very similar answer.

    Also, how is it getting certain information if it’s all offline? For example, I asked it to recommend some bike products, and gave very specific brands and models.

      • Showroom7561
        link
        fedilink
        arrow-up
        1
        ·
        9 months ago

        That’s crazy impressive, though. I’ve been playing with it more, and it’s very specific about certain things. I guess you can hold a lot of data in the GB of space these models use.

        • Joël de Bruijn@lemmy.ml
          link
          fedilink
          arrow-up
          2
          ·
          9 months ago

          Agree, no small feat. Two caveats tho:

          • These models prioritize plausibility above factual correctness. So verification often is needed.
          • Data from after the creation of trainingmaterial is absent of course.
          • Showroom7561
            link
            fedilink
            arrow-up
            3
            ·
            9 months ago

            These models prioritize plausibility above factual correctness. So verification often is needed.

            100% I was telling my wife that anyone who knows about a subject, can easily point out the inaccuracies with the output from any of the models.

            But if you don’t know about a subject, the AI gives you an answer that seems like it could be right. Scary to see where this technology takes us, especially when the majority easily digests information without verifying any of it.