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Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context

phind.com

21–30 of 358 posts

Re: Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context

#22
Pretty big jump for java eval, what is the reason for java being so notoriously difficult for LLMs? never mind I asked phind[1] and it said all the complexity... but do you have any tips or tricks for working with that language in your model?

[1] https://www.phind.com/search?cache=u3mnj3iwmjvgqlyf60bnbqo1

Re: Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context

#23
post #20

Will 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.

Re: Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context

#27

> 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.

We find that it takes around a minute for a 1024-token answer. Answers to less complex questions will take less time, but Phind will still be 5x faster.

Re: Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context

#28
I tried this, but I still have yet to get any LLM to answer me a programming question (that actually works) that I actually want to solve.

Basically:

"How can I send network control commands to an AppleTV in C#"

They always make up some nonexistent library or gives an example using some nonexistent API.

Re: Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context

#29

I love that Phind cites what it scrapes. This should be the obligation of all LLM. I always suggest people use it over ChatGPT.

As a user, i perfer getting the right response compared to the thing spitting out a link. (not saying phind is bad). Lets focus on getting llm right before nerfing it in its baby stages.
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