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this post was submitted on 29 Jun 2024
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Asklemmy
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GPT-4 is apparently the model to beat. I haven't seen all that much difference in practice between GPT-4 and 4o. I've heard various claims about various other models outperforming it (notably including Claude) but I haven't seen the claims materialize over the long haul as yet.
I have however heard that Mistral can get quite close to GPT-4, run for free locally with the right hardware, if you build up a hand curated set of around 100 query/response pairs from GPT-4 that are what you want it to do, and then fine-tune Mistral against that training set. I haven't tried it but that's what I've heard.
I'm a total layman when it comes to setting up a language model locally. Any step by step guide on how to do it? And I mostly use AIs on my Android phone, not PC. Is it possible to synchronize it between two devices?
GPT4all can do it pretty easily on a desktop with a good GPU. I think it's unlikely that anything can run locally on your phone (LLMs are notably hogs in terms of even pretty capable desktop PC resources; there's just not a cheap way to do them). You could use colab or something via your phone, and there is probably a little howto guide somewhere that shows how to do a Mistral setup on colab. It'll take some technical skill though.
You might just bite the bullet and do $20/mo for the GPT-4 subscription also. It can also do web searches, I think, although in practice it's pretty clunky the times it's tried to do things like that for me. I'm not aware of one that does the "search the web for answers and get back to me" thing really all that perfectly or smoothly I'm sad to say.
Why do the $20 subscription when the API pricing is much cheaper, especially if you are trying different models out. I'm currently playing about with Gemini and that's free (albeit rate limited).
100% right; unless you are using it a ton the API pricing is likely to be cheaper