I don't use LLMs a lot, maybe once a week or so. But I always pick Phind as my first choice because it's not behind a login and I can use it without giving my phone number. Hopefully you'll keep it that way!
I think there’s room in the market to subsidize real users. Phind delivers absurd value, so I think the majority of paying users could account for the tech-averse or privacy-conscious
Phindational models, phintech, Phinterest, phinder… it might be the best startup name of all time. Hell, startup a password manager and call it Phinders’ Keeper.
Very nice. I've been working with GPT4 since it released, and I tried some of my coding tasks from today with Phind-70B. The speed, conciseness, and accuracy are very impressive. Subjectively, the answers it gives just feel better than GPT4, I'm definitely gonna give pro a try this month.
I prefer Phind's web search with LLM to both Google search and GPT-4. I have switched my default search engine, only using Google for finding sites, not for finding information anymore.
GPT-4 might be a better LLM but its search capability is worse, sometimes sends really stupid search keywords that are clearly not good enough.
I won’t steal phind’s thunder but kagi is another great modern tool to have, and much more reliable than google for a technical user IMO. Obviously Phind is irreplaceable for complex or chat-based technical questions, but Kagi sees much more use from me daily for syntax stuff, Wikipedia searches, finding and relating papers, etc.
I tried asking "What is the size of Phind-70B's context window?" and it couldn't answer the question. Strangely, it immediately found the page with the answer (https://www.phind.com/blog/introducing-phind-70b) but refused to acknowledge that the answer was there. I tried asking several ways. It even quoted the exact answer in the displayed snippet, but still said there was no answer!
Since you're here: have you considered moving to other, better generalist base models in the future? Particularly Deepseek or Mixtrals. Natural language foundation is important for reasoning. Codellama is very much a compromise, it has lost some NLP abilities from continued pretraining on code.
I tried a question about Snobol4 and was impressed with what it said (it couldn't provide an exact example due to paucity of examples). When testing more mainstream languages I have found it very helpful.
Hello Michael, lovely to see this, congrats. Do you already have an API? I could not see it on the site. If not, then do you know around when we can expect it? I am building a desktop BI app with hosted and local LLMs (need schema inference and text to SQL). Would be nice to have Phind as an option for users. Thanks
I'd suggest logging in in that case -- you will still get your free uses. The Phind-70B counter for non-logged in users has carried over from when we offered GPT-4 uses without a login. If you've already consumed those uses, you'll need to log in to use Phind-70B.