4 ms·
Asked it to write a program that I've written before, to compare with gpt4. Didn't really get what I was asking for, gpt4 understood it perfectly, and is ready
by joaodias 3y ago
Asked it to write a program that I've written before, to compare with gpt4.
Didn't really get what I was asking for, gpt4 understood it perfectly, and is ready to continue prompting toward completion.
https://www.phind.com/agent?cache=cloeowfla000dl1084ermly3c https://www.phind.com/agent?cache=cloeowfla000dl1084ermly3c
vs
https://chat.openai.com/share/4147da33-3669-4657-88fa-3a9dfc894183 https://chat.openai.com/share/4147da33-3669-4657-88fa-3a9dfc...
Might not be representative of the whole thing, but it went on about random things I didn't ask about, and just basic information I already knew
- rushingcreek 3y agoThe Pair Programmer mode currently either uses GPT-4 or GPT-3.5 (if you've run out). Please try again in the default search mode to use the Phind Model. Using the Phind Model in the default search seems to work well: https://www.phind.com/search?cache=ln6dpdtv5auwn4cq1ofg3gs9 https://www.phind.com/search?cache=ln6dpdtv5auwn4cq1ofg3gs9
- Capricorn2481 3y agoEven though the phind model is selected? Is there a technical reason Phind doesn't do pair programming yet?
- rushingcreek 3y agoIt's because we haven't updated the Phind Model to support function calling yet but we're working on it.
- Capricorn2481 3y agoCan you share what your long term monetization model is? I'm noticing Phind is free to use right now.
- rushingcreek 3y agoWe have a Pro plan where you can get (virtually) unlimited GPT-4 and soon, an even faster Phind model. https://phind.com/plans https://phind.com/plans
- Capricorn2481 3y agoIs there something you're doing with GPT-4 that would make me want to use it through you vs just using it myself?
- joaodias 3y agohttps://www.phind.com/search?cache=z5odlx0o9lspzpfm4sfpp131 https://www.phind.com/search?cache=z5odlx0o9lspzpfm4sfpp131 Way way better, I'm stunned. Congratulations on this
- TheGeminon 3y agoThe problem is that it’s doing a search of your relatively niche problem, and probably getting pretty poor results. The text from the search is then more highly weighted than the base model, but with relative junk, so it performs better without the additional (unhelpful) context. You see this with Bing search on ChatGPT as well, and I’ve seen it in my own projects.