Im using Ollama on my server with the WebUI. It has no GPU so its not quick to reply but not too slow either.
Im thinking about removing the VM as i just dont use it, are there any good uses or integrations into other apps that might convince me to keep it?
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.
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.
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”
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.
Well, it’s a bit of a pipeline, I use a custom project to have an API to be able to send files or urls to summarize videos.
With yt-dlp I can get the video and transcribe it with fast whisper (https://github.com/SYSTRAN/faster-whisper), then the transcription is sent to the LLM to actually make the summary.
I’ve been meaning to publish the code, but it’s embedded in a personal project, so I need to take the time to isolate it '^_^
https://github.com/hendkai/paperless_sort_low_quality_ollama let ai tag your paperless ngx files base on content.
