It's a tool like any other. If you don't have any usecase for it, just don't use it.
I use it to summarize release notes and generate some minor descriptions for generic stuff in my TTRPG campaigns.
generate some minor descriptions for generic stuff in my TTRPG campaigns.
Need a quick 200 word description of the interior of an apothecary? Or a band of marauding orcs? It’s been a huge time saver for me.
Yup, never had to usw "Random NPC Merchant No. 14" again.
Think of LLMs like a stupid office worker. You wouldn't rely on them to make critical decisions, but they're valuable for tedious stuff.
For example, my calendar changed the way to enter new events breaking my workflow. Now I just type out a skeletal schedule and have LLM convert that into a .csv that I import.
I'm thinking of Ripping my CD collection again. I'm researching a way to use a LLM to tidy up the metadata.
I had a folder full of random stuff I've saved for years. Had a LLM organize and categorize it for me. I had to tweak the prompt enough that this was a medium difficulty task, but still way easier than doing it manually.
for the metadata, LLMs may not prove so great. Use MusicBrainz Picard or Beets
I'm thinking of Ripping my CD collection again. I'm researching a way to use a LLM to tidy up the metadata.
If you ever figure out how to use AI to determine the genre(s) of a song, let me know. Have been looking for something like that for quite a while.
Nextcloud Recognize is supposed to do that, but I haven't tried it. You might try looking down that road.
Thanks for the tip! I took a look and it seems like Recognize uses this: https://github.com/jordipons/musicnn
Last update was 4 years ago but will give it a try this weekend.
Can you share some info on how you did that folder organization? Did you provide the AI with a list of files?
playing dnd alone is pretty cool
Any model recommendation for that?
The ones i tried get stuck in a loop at some point due to the small context windows.
Yeah even gpt4o couldn't keep track of encounters, run battles etc. in my case...
I think if you wanted to do it mechanically consistently you'd probably need to integrate it into a vtt where you give it context and potentially fine-tune it to give quest related summaries & gming rather than just "stuff"
VTT integration would be one hell of a job to do.
I don’t know how tech savvy you are, but I’m assuming since your on lemmy it’s pretty good :)
The way we’ve solved this sort of problem in the office is by using the LLM’s JSON response, and a prompt that essentially keeps a set of JSON objects alongside the actual chat response.
In the DND example, this would be a set character sheets that get returned every response but only changed when the narrative changes them. More expensive, and needing a larger context window, but reasonably effective.
the answer is very spesific to ur pc and amount of vram you have availşble to you. But anything lama 3 even 8b models finetuned to DM or write stories should theoritically work. The other reply that reccomends connecting to another program to make sure rules are consistent sounds like a great idea whşch I have not tried. I use silly tavern as the ui whşch has lots of options and shit to mske thşngs wkrk well. I would reccomend goşng şnto the "KoboldAI" discord and askşng şn the support sectşon folk there are very helpfull sorry for not beşng able to gşve a strsight answer Also boost the context size way up that shit makes dşfference I habe like 16k or sumthin. good luck!
What on earth is going on with your keyboad?!
Besides that, i have 20GB of VRAM and 64GB or RAM. I can run the mixtral 8x7b model relatively usable. Currently i use oobabooga the most.
I've used it to summarize long articles, news posts, or videos when the title/thumbnail looks interesting but I'm not sure if it's worth the 10+ minutes to read/watch.
There are other solutions, like a dedicated summarizer, but I've investigated into them and they only extract exact quotes from the original text, an LLM can also paraphrase making the summary a bit more informative IMO.
(For example, one article mentioned a quote from an expert talking about a company, the summarizer only extracted the quote and the flow of the summary made me believe the company said it, but the LLM properly stated the quote came from the expert)
This project https://github.com/goniszewski/grimoire has in it's road map a way to connect to an AI to summarize the bookmarks you make and generate at 3 tags.
I've seen the code, I don't remember what the exact status of the integration.
Also I have a few models dedicated for coding, so I've also asked a few pieces of code and configurations to just get started on a project, nothing too complicated.
Which one do you use to summerize videos?
Does it work with porn videos?
asking the important question, but yeah, the plot is essential in porn
I use the Continue VS Code plugin with Ollama to use a couple of different models (deepseek-coder-v2 & starcoder2) to recreate a local only Github Copilot type experience for coding. This is on an M1 Apple Silicon though. For autocomplete the generation needs to be pretty brisk - I'm not sure how that would go in a VM without a GPU.
How well does the M1 chip keep up? What size models are you running with it? Interested in getting an M1 laptop and I am curious.
starcoder2:latest f67ae0f64584 1.7 GB 3 days ago
phi3:latest d184c916657e 2.2 GB 3 weeks ago
deepseek-coder-v2:latest 8577f96d693e 8.9 GB 3 weeks ago
llama3:8b-instruct-q8_0 1b8e49cece7f 8.5 GB 3 weeks ago
dolphin-mistral:latest 5dc8c5a2be65 4.1 GB 3 weeks ago
codeqwen:latest df352abf55b1 4.2 GB 3 weeks ago
llama3:latest 365c0bd3c000 4.7 GB 4 weeks ago
I mostly use starcoder2 with Continue for code autocomplete, the big deepseek coder is a bit slow (I can feel it thinking), but it and the regular llama3 are good for chatbot type programming questions.
I don't really have anything to compare the M1 performance to. I guess the 8GB models output text a little slower than the web versions of the same models, and the 4GB ones about the same. Using ollama in the terminal, there's sometimes a 0.5-2 second pause before it starts outputting. Not with phi3 though - it's surprisingly snappy for the quality of answers.
https://github.com/hendkai/paperless_sort_low_quality_ollama let ai tag your paperless ngx files base on content.
I have a 4070 sitting around collecting dust that I got from a trade, I've been thinking about setting it up with whispr and TTS and having a way to talk to my house.
I have a couple of smart home integrations, mostly air conditioning, light switches, security, and doors.
What I would like would be to have a few speakers on the walls that can talk to my server where I can say something like, hey computer, turn on the lights in the dining room and the lights in the dining room would turn on without transmitting that information to Google or Amazon.
You can try integrating with SEPIA. Not that I used it befote but it surely looks promising.
Wonderful. I'll check it out. Thank you!
I am really curious if you can get the traditional smart functionality along with a LLM. Maybe have some sort of keyword the prompts the AI. You also could write a custom generated system prompt that includes the weather, time and any other information
Roleplay (text adventures), a (stupid but occasionally funny) dungeon master, translation and help with creativity. These are the use cases I found. If you don't need that, you might get rid of it.
I use local AI for coding (more recently) and ML Photo storage facial recognition and security camera object detection (been using the later 2 for years now actually, don't want that kind of info out on someone else's cloud training on my images)
None
Wanting answers to things you don't want google to know that you don't know.
There are a huge number of vastly better solutions to get that...
IMO LLMs are ok to get a head start of searching. Like got a vague idea of something but don't know the exact keywords. LLMs can help and use the output on whatever search engine you like. This saves a lots of time tinkering the right keywords.
Such as…?
A privacy respecting search engine.
Duckduckgo or SearX
I use it for everything. I did move to ollama to podman and I replaced webUI with Alpaca
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