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Have you tried RAG? I believe that they are actually pretty good for searching and compiling content from RAG.
So in theory you could have it connect to all of you local documents and use it for quick questions. Or maybe connected to your signal/whatsapp/sms chat history to ask questions about past conversations
No, what is it? How do I try it?
RAG is basically like telling an LLM "look here for more info before you answer" so it can check out local documents to give an answer that is more relevant to you.
You just search "open web ui rag" and find plenty kf explanations and tutorials
I've used smollm2:135m for projects in DBeaver building larger queries. The box it runs on is Intel HD 530 graphics with an old i5-6500T processor. Doesn't seem to really stress the CPU.
UPDATE: I apologize to the downvoter for not masochistically wanting to build a 1000 line bulk insert statement by hand.
Currently I've been using a local AI (a couple different kinds) to first - take the audio from a Twitch stream; so that I have context about the conversation, convert it to text, and then use a second AI; an LLM fed the first AIs translation + twitch chat and store 'facts' about specific users so that they can be referenced quickly for a streamer who has ADHD in order to be more personable.
That way, the guy can ask User X how their mothers surgery went. Or he can remember that User K has a birthday coming up. Or remember that User G's son just got a PS5 for Christmas, and wants a specific game.
It allows him to be more personable because he has issues remembering details about his users. It's still kind of a big alpha test at the moment, because we don't know the best way to display the 'data', but it functions as an aid.
Hey, you're treating that data with the respect it demands, right? And you definitely collected consent from those chat participants before you Hoover'd up their [re-reads example] extremely Personal Identification Information AND Personal Health Information, right? Because if you didn't, you're in violation of a bunch of laws and the Twitch TOS.
Most US states are single party consent. https://recordinglaw.com/united-states-recording-laws/one-party-consent-states/
sounds like salesforce for a twitch setting. cool use case, must make fun moments when he mentions such things.
Esp. if the LLM just hallucinates 50% of the "facts" a about the users 👌
I've integrated mine into Home Assistant, which makes it easier to use their voice commands.
I haven't done a ton with it yet besides set it up, though, since I'm still getting proxmox configured on my gaming rig.
Sorry, I am just gonne dump you some links from my bookmarks that were related and interesting to read, cause I am traveling and have to get up in a minute, but I've been interested in this topic for a while. All of the links discuss at least some usecases. For some reason microsoft is really into tiny models and made big breakthroughs there.
https://reddit.com/r/LocalLLaMA/comments/1cdrw7p/what_are_the_potential_uses_of_small_less_than_3b/
https://github.com/microsoft/BitNet
https://www.microsoft.com/en-us/research/blog/phi-2-the-surprising-power-of-small-language-models/
https://news.microsoft.com/source/features/ai/the-phi-3-small-language-models-with-big-potential/
Converting free text to standardized forms such as json
Oh—do you happen to have any recommendations for that?
DeepSeek-R1-Distill-Qwen-1.5B