4 ms·
> It gives an answer with complete confidence, and I sort of believe it. And half the time, it’s completely wrong. That's bullshit, unless you are asking quest
by p-e-w 3y ago
> It gives an answer with complete confidence, and I sort of believe it. And half the time, it’s completely wrong.
That's bullshit, unless you are asking questions specifically designed to make GPT-4 hallucinate. For most real-world, everyday topics, the accuracy is close to 100%. GPT-4 would be utterly useless otherwise.
- m3kw9 3y agoYeah a lot of times is right, unless they are really complex subjects then maybe even less then 50
- munchler 3y agoWhich is true for many humans as well.
- thorum 3y agoLess about complexity than about how well-documented the subject is on the internet IMO. I’ve been using it to help me set up and troubleshoot AWS Elastic Kubernetes clusters, which are plenty complex, and I’d estimate it’s been around 95% accurate. (And for at least one of the times it seemed to be wrong, it turned out I’d made a mistake following its instructions...)
- galaxyLogic 3y agoYou could ask me a difficult scientific question which I wouldn't even understand. But I could google and find a scientific paper which I would pass to you. You could say fantastic answer, thanks. But I would have no clue as to whether it is or is not. Now if I could just do that fast enough to serve all the people all the time, you would call me a sensation. I think this is what's happening with LLMs.
- helloplanets 3y agoSuch a weird time, when the gap in the performance of GPT 3.5 and 4 is huge, but the time between their releases is so short. Some of the critique that was apt for 3.5 sounds a bit out of touch when it comes to 4.