this post was submitted on 01 Aug 2024
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LLMs: using statistics to generate reasonable-sounding wrong answers from bad data.
Often the answers are pretty good. But you never know if you got a good answer or a bad answer.
They really aren't. Go ask about something in your area of expertise. At first glance, everything will look correct and in order, but the more you read the more it turns out to be complete bullshit. It's good at getting broad strokes but the details are very often wrong.
Now imagine someone that doesn't have your expertise reading that answer. They won't recognize those details are wrong until it's too late.
That is about the experience I have. I asked it for factual information in the field I work at. It didn't gave correct answers. Or, it gave working protocols which were strange and would not be successful.