When I search this topic online, I always find either wrong information or advertising lies. So what is actually something that LLMs can do very well, as in being actually useful and not just outputing a nonsensical word salad that sounds coherent.

Results

So basically from what I’ve read, most people use it for natural language processing problems.

Example: turn this infodump into a bullet point list, or turn this bullet point list into a coherent text, help me with rephrasing this text, word association, etc.

Other people use it for simple questions that it can answer with a database of verified sources.

Thanks guys.

  • demunted@lemmy.ml
    3·
    11 hours ago

    Just rewrote my corporate IT policies. I feed it all the old policies and a huge essay of criteria, styles, business goals etc. then created a bunch of new policies. I have chatgpt interview me about the new policies, I don’t trust what it outputs until I review it in detail and I ask it things like

    What do other similar themed policies have that I don’t? How is the policy going to be hard to enforce? What are my obligations annually, quarterly and so on?

    What forms should I have in place to capture information ( i.e. consultant onboarding).

    I can do it all myself but it would be slower and more likely to have consistency and grammatical errors.