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If you don't mind, I'm trying to experiment w/ local models more. Just now getting into messing w/ these but I'm struggling to come up w/ good use cases. Would
by sleepingreset 2y ago
If you don't mind, I'm trying to experiment w/ local models more.
Just now getting into messing w/ these but I'm struggling to come up w/ good use cases.
Would you happen to know of any cool OSS model projects that might be good inspiration for a side project?
Wondering what most people use these local models for
- sosuke 2y agoNo ideas about side projects or anything "productive" but for a concrete example look at SillyTavern. Making fictional characters. Finding narratives, stories, role-play for tabletop games. You can even have group chats of AI characters interacting. No good use cases for profit but plenty right now for exploration and fun.
- wing-_-nuts 2y agoOne idea that I've been mulling over; Given how controllable linux is from the command line, I think it would be somewhat easy to set up a voice to text to a local LLM that could control pretty much everything on command. It would flat out embarass alexa. Imagine 'Hal play a movie', or 'Hal play some music' and it's all running locally, with your content.
- mikegreenberg 2y agoThere are a few projects doing this. This one piqued my interest as having a potentially nice UX after some maturity. https://github.com/OpenInterpreter/01 https://github.com/OpenInterpreter/01
- octobus2021 2y ago...until one day it hallucinates or has existential crisis and does something funny with "dd" or "fdisk/sfdisk"... :)
- ajcp 2y agoI've got a couple I've done and it's been really enjoyable. I think the real value in using local models is exposing them to personal/unique information that only you have, thus getting novel and unique outcomes that no public model could provide. 1. Project 1 - Self Knowledge - Download/extract all of my emails and populate into a vector database, like Chroma[0] - For each prompt do a search of the vector store and return N number of matches - Provide both prompt and search result to LLM, instructing it to use the search result as context or in the answer itself. 2. Project 2 - Chat with a Friend - I exported the chat and text history between me and a good friend that passed away - I created a vector store of our chat history in chunks, each consisting of 6 back-and-forth interactions - When I "chat" with the LLM the a search is first conducted for matching chunks from the vector store and then using those as "style" and knowledge context for a response. Optional: You can use SillyTavern[1] for a more "rich" chat experience The above lets me chat, at least superficially, with my friend. It's nice for simple interactions and banter; I've found it to be a positive and reflective experience. 0. https://www.trychroma.com/ https://www.trychroma.com/ 1. https://sillytavernai.com/ https://sillytavernai.com/
- sleepingreset 2y agothank you tons. this is a great start and I'm gonna use these for learning :) u rock
- ajcp 2y agoPleasure is all mine :D Have fun and please reach out if you get stuck!
- bavell 2y agoI'm experimenting with using them to help me make a mod for a game (Vic3). It has a lot of config files and I'm using AI to help generate the data structures and parsers/serializers. It's coming along but very hit or miss with the small models I'm using (all my poor 6750XT 12GB can manage). I could be doing something wrong though, even with GPT-4 im struggling a bit - it's very lazy and doesn't want to fully populate the data structure fields (the game file objects can haze dozens/hundredss of fields). I'm probably just not using the right incantation/magic phrase/voodoo?