Locally hosted LLM use cases?
I’m curious what interesting use cases people on here have thought of for locally hosted llms. I’m also curious what form factor will need to be supported to make you use case.
I think because of the large amount of ram that’s needed, something phone sized could not be that useful.
But I could be wrong, maybe there is a use case for a really dumb small model that can be used to great effect.
Thoughts?!
7 comments
[ 0.30 ms ] story [ 25.6 ms ] threadCheck out the 13B finetunes on HF: https://huggingface.co/models?sort=modified&search=13b
Privacy / Secrecy
Low Latency (as in network)
Low Latency (as in ttfb)
Can fine tune continuously and immediately.
No need for internet connection or just a “download only” type connection. Great for remote areas.
So where this might be useful?
A local NoT (network of things) that is privacy conscious.
An assistant for people who want to detox from being online.
A low latency code assistant for anyone who gets annoyed if they blink and nothing has happened yet.
A toy / pet type thing
LLM guidance for a submarine or space mission.
Aside from that, it would be cool to have some kind of automatic inventory and info system for items in my home that can make minor assumptions about what you want, or do a "twenty questions" game to help find a word you forgot. My gf is dyslexic and can't remember words that she's only seen in writing, so she sometimes gets really irritated when she's trying to explain stuff and she can't even think of what letter the word starts with. I notice that when she wants to think of a specific word like "conglomeration" she has a very hard time thinking of how to describe the concept. So something that would be like "are you thinking of a noun? Is it a person, group, etc?" without her having to write a stating sentence would be helpful. It would have to just have a "start questions" button, bc she will get stressed by trying to think of how to start the writing lol
you could wade through ffmpeg docs for a while to crop a video or you could ask the llm and get a quick response