this post was submitted on 20 Nov 2023
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It's already easy to self host and we've optimized LLMs to run locally on not much serious hardware after we've trained them; I have GPT4ALL set up on my machine and it runs everything locally with my processor, no GPU or anything. Some of those datasets are uncensored, and I've seen what Stable Diffusion can do for image generation.
I tend to use the GPT-4 built into Edge with my O365 corporate plan, because it suits my needs better for day-to-day challenges. It can still audit code and summarize things, which is all I really need it to do here and there.
Nothing that runs on my GPU / CPU comes even close to GPT 3.5, GPT4 is not even in the same universe, and that’s with them running far more slowly.
In my tests, the self hosted options that have access to a 30xx or 40xx graphics card return results far faster than gpt4
Which model are you talking about?
Mistral for chatgpt, and i'm not saying it gives better answers, just that it's much faster than my web portal to gpt4
Oh, faster is easy. GPT 3.5 is also far faster than GPT 4. Faster at quality replies is the issue.