this post was submitted on 04 May 2025
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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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[–] nagaram@startrek.website 6 points 1 year ago* (last edited 1 year ago)

I want someone to prove his LLM can be as insightful and accurate as paid one.

Are you using LLMs as search engines?

Bold.

I use Gemma, LLama 3.2, and Deepseek to either fix formatting, summarize documentation to give me commands for Linux software, and write simple code structure for me to refine into working code.

Sure it takes longer to generate than a cloud compute would, but

  1. privacy obviously. I know you dismissed it but that's really the biggest reason anyone will have.

  2. this feels better environmentally. I actually don't know if that's true, but it objectively touches less computers for such simple tasks. It would be wasteful of infrastructure to do it over the web.

  3. it's just cooler to have a conversation with my computer. I've learned a lot about how the whole process works and that's more valuable to me as a non dev than just getting the end results.