3 ms·
If you complain the the current generation of LLMs isn't as impressive as some people try to prove it is, the shills complain that you used the wrong prompts an
by chad1n 2y ago
If you complain the the current generation of LLMs isn't as impressive as some people try to prove it is, the shills complain that you used the wrong prompts and maybe you should fine-tune the model. I don't think people should spend much time trying to write a prompt to find a working solution because they could just do that. In the author's case, if he used the summary provided by ChatGPT, I doubt that anyone would have realized it's wrong, but that doesn't mean it's good either.
The problem with LLMs is the lack of reliability and coherence. If it gives you a wrong answer and you ask it if it's sure, in most cases it will show another wrong answer and you need to go through multiple of these hops to get something fine.
- apwell23 2y ago> If you complain the the current generation of LLMs isn't as impressive as some people try to prove it is, the shills complain that you used the wrong prompts I think the go to is everyone said the same thing about the internet. Look where we are now.
- Sharlin 2y agoOnly after the bursting of a very big hype bubble, remember? AI is also different in the sense that it has already gone through several hype cycles, each followed by an "AI winter" of broken dreams. Clearly large DL models are a breakthrough, but the amount of hype and hot air is entirely out of proportion to the actual results.
- rplnt 2y agoThis "sorry, I was wrong, here's another wrong answer" is basically my only experience with llm. But it also onpy works if I know the answer or the answer I get is really stupid. Luckily the latter is common.