Uses for local AI?
Uses for local AI?
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?
You're viewing a single thread.
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
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 '^_^