• jsomae@lemmy.ml
    link
    fedilink
    arrow-up
    1
    ·
    1 年前

    Crappy but working code has its uses. Code that might or might not work also has its uses. You should primarily use LLMs in situations where you can accept a high error rate. For instance, in situations where output is quick to validate but would take a long time to produce by hand.