3 ms·
Yes, that is correct, and was also more than indicated in my initial comment. > The software engineer needs to "de-hallucinate" him in order to get a proper an
by tossandthrow 2y ago
Yes, that is correct, and was also more than indicated in my initial comment.
> The software engineer needs to "de-hallucinate" him in order to get a proper answer.
The question is not whether a model is sound and complete. The question how LLMs perform in comparison to the existing solutions.
Don't let perfect get in the way of good.
- oxfordmale 2y agoWith humans, it is often easy to establish who hallucinates and who doesn't. We can all identify a snake oil sales pitch. However, with LLM, it can often be a lot harder. Let's take an example. I studied physics and can likely answer most questions on nuclear physics. However, as it is a while back, my answers will not sound as smooth, and I may have to correct myself a few times. If you ask ChatGPT the same questions, it will come up with elegant, convincing answers. As a layman, you will likely prefer what ChatGPT comes up with, as it is answers are eloquent. Of course, until you build a nuclear reactor using ChatGPT knowledge. Once the fuel rods become critical and start making its way through the earth's crust, you may realise you should have relied on my stumbling answers instead.