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

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211–220 of 358 posts

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

#211
post #57

I know it isn't popular, but I wish there was a way to use this inside Emacs. Or, vim. I just don't want to use VS Code anymore.

Maybe ellama[1] would work? It doesn't support Phind yet, but a provider could be created for the underlying connection package llm[2].

[1]: https://github.com/s-kostyaev/ellama

[2]: https://github.com/ahyatt/llm

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

#214
Awesome model from a quick run-through comparison, it's comparable in results to GPT-4 with web search and references as a plus, but runs faster. Two small nitpicks:

- Dark mode is hard to read, the answer text font has too much weight and brightness which makes it hard to read long paragraphs of non-code text. Light mode is obviously too bright overall, but it's already nighttime where I'm at so maybe tomorrow at noon I'll have another opinion. I'd preferred gray (dark, ie OpenAI) and sepia (light, ie HN) as backgrounds when long lines of text are involved.

- Pricing page and ties to GPT-4: what does "500+ best model uses per day (GPT-4)" mean? What's the "GPT-4" part for? I saw I can pick GPT4 as a model on the landing page, but I just don't get the best model/GPT-4 thing. Is Phind announcing it's a competitor but also proxies GPT-4? Sorry, I'm not up-to-date on GPT-4 "resellers" and the story behind Phind, it's just weird when it announces it "beats GPT-4" then the pricing is about GPT-4 usage.

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

#215

Earlier quoted context omitted.

The standardizing on VS code is one of the saddest developments over the last several years IMHO. I think it's great that VS Code exists, but we're headed for a world where you have to use VS Code if you want the best tooling because it won't support other options. The same thing happened with Java dev and IntelliJ, and IMHO it has been extremely unhealthy for the ecosystem. I'm immensely glad that Copilot supports v…

Didnt vscode standardise language servers making much easier for all the rest text-editor-close-almost-ides to integrate? Is it really that sad?

Very fair point. Vim has benefited tremendously from that effort.

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

#216

Awesome model from a quick run-through comparison, it's comparable in results to GPT-4 with web search and references as a plus, but runs faster. Two small nitpicks: - Dark mode is hard to read, the answer text font has too much weight and brightness which makes it hard to read long paragraphs of non-code text. Light mode is obviously too bright overall, but it's already nighttime where I'm at so maybe tomorrow at no…

Thanks for the feedback. We also support GPT-4 as an answering model so users can pick and choose what's best for their use case, but we recommend the Phind Model for the majority of users.

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

#217

I'm glad there's growing competition, but GPT4 still outperforms. Here's a recent question I asked: Could you please provide me with a query for my PostgreSQL table? It consists of three columns: 'id,' 'teaser,' and 'full_text,' all of which are of type 'text.' Most 'full_text' entries are articles around 1000 words in length. I'd like to update the 'teaser' column for each row with the first approximately 200 words…

I really dislike article teasers and "read more" buttons. Now I know it's intentional clipping of the corresponding articles.

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

#218

I just spent a few minutes doing a comparison between Phind and GPT-4 for a very high-level question on a distributed job queue. I gave them both the same fairly vague sketch of a kind of system I would like to build. Here are my impressions: In the positives of Phind: * Phind was able, even eager, to recommend specific libraries relevant to the implementation. The recommendations matched my own research. GPT-4 takes…

Do you have custom instructions? Everyone needs to mention and post prompts else entirely antidotal

I did not have custom instructions for either assistant. You can see the full conversation logs which I posted as a reply to another comment.

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

#219
post #173

I am a heavy user of GPT4, and Phind was surprisingly able to match GPT4 on several initial programming tasks I gave it. Given the large context window of Phind, it will likely be able to outperform GPT4 for some tasks. That is quite an accomplishment, I am impressed

FWIW The default context window of GPT-4 via ChatGPT is about to change to 32k.

that would put them significantly ahead again, for my use cases

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

#220
post #219

Earlier quoted context omitted.

FWIW The default context window of GPT-4 via ChatGPT is about to change to 32k.

that would put them significantly ahead again, for my use cases

We will eventually increase the Phind Model to 100K tokens -- the RoPE embeddings in Code Llama were designed for this.
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