4 ms·
I understand why they’re doing this from a cost and dependency perspective, but I’ve pretty much stopped using Phind since they switched over to their own model
by bugglebeetle 3y ago
I understand why they’re doing this from a cost and dependency perspective, but I’ve pretty much stopped using Phind since they switched over to their own models. I used to use it in the past for thing like API docs summarization, but it seems to give mostly wrong answers for that now. I think this is mostly a “RAG doesn’t work very well without a very strong general model parsing the context” problem, which their prior use of GPT-4 was eliding.
- dingnuts 3y agoI used it for awhile and it was pretty good at Bash or Emacs Lisp one-liners but it was wrong often enough that it was faster to just search on Kagi for the information that I want first, instead of performing N searches to check the answer from Phind after querying Phind.
- rushingcreek 3y agoPhind founder here. Thanks for the feedback -- I'd love to hear your thoughts on this new model. You can try it for free, without a login, by selecting it from the homepage: https://phind.com https://phind.com.
- bugglebeetle 3y agoI just tried using the 70B model and the answer was listed as being returned using the 34B model instead of the 70B model and was wrong. Is there some logic that ignores user choice, depending on what the service thinks can be answered?
- int_19h 3y agoI don't know about coding specifically, but its ability to solve logical puzzles is certainly vastly inferior to GPT-4. Have a look: https://www.phind.com/agent?cache=clsxnhahk0006jn08zjvcgc9g https://www.phind.com/agent?cache=clsxnhahk0006jn08zjvcgc9g https://chat.openai.com/share/ec5bad29-2cda-48b5-9aee-da91490f3319 https://chat.openai.com/share/ec5bad29-2cda-48b5-9aee-da9149...