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-56

Can local LLMs be as useful and insightful as those widely available? (discuss.online)

submitted 1 year ago* (last edited 1 year ago) by Brylant@discuss.online to c/selfhosted@lemmy.world

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Why do people host LLMs at home when processing the same amount of data from the internet to train their LLM will never be even a little bit as efficient as sending a paid prompt to some high quality official model?

inb4 privacy concerns or a proof of concept

this is out of discussion, I want someone to prove his LLM can be as insightful and accurate as paid one. I don't care about anything else than quality of generated answers

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[–] brucethemoose@lemmy.world 3 points 1 year ago* (last edited 1 year ago)

Heh, you shouldn’t be paying for LLMs. Gemini 2.5 Pro is free, and so are a bunch of great API models. ChatGPT kinda sucks these days (depending on the content).

I have technical reasons for running local models (instant cached responses, constrained grammar, logprob output, finetuning), and I can help you set that up if you want, but TBH I am not going into a long technical proof of why that’s advantageous unless you really want to try this all yourself.