• sugar_in_your_tea@sh.itjust.works
    link
    fedilink
    English
    arrow-up
    7
    arrow-down
    6
    ·
    1 day ago

    Google search was pretty bad at each of those, even when it was good. Finding new keywords to use is especially difficult the more niche your area of search is, and I’ve spent hours trying different combinations until I found a handful of specific keywords that worked.

    Likewise, search is bad for getting a broad summary, unless someone has bothered to write it on a blog. But most information goes way too deep and you still need multiple sources to get there.

    Fact lookup is one the better uses for search, but again, I usually need to remember which source had what I wanted, whereas the LLM can usually pull it out for me.

    I use traditional search most of the time (usually DuckDuckGo), and LLMs if I think it’ll be more effective. We have some local models at work that I use, and they’re pretty helpful most of the time.

    • snooggums@lemmy.world
      link
      fedilink
      English
      arrow-up
      3
      ·
      24 hours ago

      No search engine or AI will be great with vague descriptions of niche subjects because by definition niche subjects are too uncommon to have a common pattern of ‘close enough’.

      • sugar_in_your_tea@sh.itjust.works
        link
        fedilink
        English
        arrow-up
        2
        arrow-down
        1
        ·
        23 hours ago

        Which is why I use LLMs to generate keywords for niche subjects. LLMs are pretty good at throwing out a lot of related terminology, which I can use to find the actually relevant, niche information.

        I wouldn’t use one to learn about a niche subject, but I would use one to help me get familiar w/ the domain to find better resources to learn about it.