3 ms·
It got the question correct in 3 trials, with 1 of the trials being the smaller model. GPT4o https://chatgpt.com/share/673578e7-e34c-8006-94e5-7e456aca6f75 ht
by owenpalmer 2y ago
It got the question correct in 3 trials, with 1 of the trials being the smaller model.
GPT4o
https://chatgpt.com/share/673578e7-e34c-8006-94e5-7e456aca6f75 https://chatgpt.com/share/673578e7-e34c-8006-94e5-7e456aca6f...
GPT4o
https://chatgpt.com/share/67357941-0418-8006-a368-7fe8975fbd28 https://chatgpt.com/share/67357941-0418-8006-a368-7fe8975fbd...
GPT4o-mini
https://chatgpt.com/share/673579b1-00e4-8006-95f1-6bc95b638d8e https://chatgpt.com/share/673579b1-00e4-8006-95f1-6bc95b638d...
- Iulioh 2y agoThe problem with these answers is that they are right but misleading in a way. Glass is not a pure element so that temperature is the "production temperature" but as an amorphous material it ""melts"" in the way a plastic material ""melts"" and can be worked at temperature as low as 5-700c. I feel like without a specification the answer is wrong by omission. What "melts" means when you are not working with a pure element is pretty messy. This came out in a discussion for a project with a friend too obsessed with GPT (we needed that second temperature and i was "this can't be right....it's too high")
- mav3ri3k 2y agoYes. This is funny when I know what is happening and I can "guide" the LLM to the right answer. I feel that is the only correct way to use LLMs and it is very productive. However, for learning, I don't know how anyone can rely on them when we know this happens.