Ran a quick test with a Rust async code snippet that contains an error. Compared with GPT-4 its gives a far clearer solution, with linked sources to learn more! Super impressive!
Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context
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Re: Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context
#32Re: "We're excited to announce" - when did this get deployed? I was on Phind Pro ... a month ago or something, and curious if i already experienced this or not.
Phind was really good, but still had a difficult time with library versions. Notably a lot of the search results it saw felt like they polluted it with incorrect assumptions about available methods on specific library versions. The web results felt like it made the LLM worse at some things. In the end i switched back to ChatGPT. Though i expect i'll retry Phind at some point, i do tend to ping pong on each respective release.
Does this version tackle that any better in your eyes?
Re: Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context
#33Ran a quick test with a Rust async code snippet that contains an error. Compared with GPT-4 its gives a far clearer solution, with linked sources to learn more! Super impressive!
Amazing, that's great to hear.
Re: Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context
#34> You can now get high quality answers for technical questions in 10 seconds instead of 50. ChatGPT 4 does not take 50 seconds to answer, so I don't understand this comparison.
Recently I've used gpt 4 and yes it does take up to a minute even for easy questions.
I've asked it how to scp a file on Windows 11 and it'll take a minute to tell me all the options possible.
If this takes 1/5th the time for equivalent questions, I'd consider switching
Re: Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context
#35Re: "We're excited to announce" - when did this get deployed? I was on Phind Pro ... a month ago or something, and curious if i already experienced this or not. Phind was really good, but still had a difficult time with library versions. Notably a lot of the search results it saw felt like they polluted it with incorrect assumptions about available methods on specific library versions. The web results felt like it ma…
Thanks for the feedback and I'm sorry to see you go. The new version should be better at library versions. If you're in our Discord, I'd be happy to help you one-on-one -- please send me a DM.
Re: Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context
#36Will you be offering the model as an API service? The product my team is working on would benefit from a significantly faster and possibly better performing model than GPT-4. If you're planning on keeping pace with competitive models we'd love to integrate the use of your model into our service.
If we get enough demand that's definitely something we'll consider. We're still a small team, however, and we do everything in our power to not get distracted from our main mission.
Makes sense, we're also very small (pre-seed) so definitely no cash cow for you guys yet. We probably shouldn't be prematurely optimizing our prompting performance as it's not really a bottleneck, but a 4x improvement just by swapping an API would be too good not to act on.
Re: Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context
#37Some small feedback/bug:
(Mobile, Firefox, using pair programmer mode)
The text box gets hidden after the conversation exceeds the page height
Re: Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context
#38Some small feedback/bug: (Mobile, Firefox, using pair programmer mode) The text box gets hidden after the conversation exceeds the page height
Thanks, we'll take a look.
Re: Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context
#39I love that Phind cites what it scrapes. This should be the obligation of all LLM. I always suggest people use it over ChatGPT.
What they're citing isn't what the LLM "scraped", it's what the retrieval model fed to the LLM. You're not guaranteed that it's what it actually used to give you the output, and it's also definitely not all the text that it used to get appropriate knowledge to generate the answer, as this is split over whatever millions of examples for the language and for human language in a non human-understandable way
Re: Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context
#40Re: "We're excited to announce" - when did this get deployed? I was on Phind Pro ... a month ago or something, and curious if i already experienced this or not. Phind was really good, but still had a difficult time with library versions. Notably a lot of the search results it saw felt like they polluted it with incorrect assumptions about available methods on specific library versions. The web results felt like it ma…
Thanks for the feedback and I'm sorry to see you go. The new version should be better at library versions. If you're in our Discord, I'd be happy to help you one-on-one -- please send me a DM.
I'm sure i'll be back soon, the overall experience was good. So many competing products it's difficult to pay for them all at once.