[kwlug-disc] Have you played with locally installable and usable AI -> give a talk
kwlug at c.nixc.us
kwlug at c.nixc.us
Tue Apr 9 16:55:33 EDT 2024
I just saw the rest of the formerly truncated Subject line I'm not sure I'm prepared just yet to offer a talk again for a bit but we can chat here.
April 9, 2024 at 4:36 PM, "Colin_ via kwlug-disc - kwlug-disc at kwlug.org" <ra+ufldbbsvjexizxayvqisniizm at simplelogin.co> wrote:
>
> I've got a copy of Ollama running on my Gaming PC if you wanted to coordinate access to play with that I also have been meddling with something I found called OpenInterpreter which is probably a terrible idea to hook an AI directly into your computer as a system operator but I installed it into a virtual desktop inside of a Docker container accessible from a browser tab.
>
> March 30, 2024 at 11:46 PM, "Paul Nijjar via kwlug-disc - kwlug-disc at kwlug.org" <ra+ufldbbsvjexizxayvqisniizm at simplelogin.co> wrote:
>
> >
> > Another message that got rejected, but shouldn't have?
> >
> > ----- Forwarded message from Alex Korobkin <korobkin at gmail.com> -----
> >
> > Date: Sat, 30 Mar 2024 22:57:29 -0400
> >
> > From: Alex Korobkin <korobkin at gmail.com>
> >
> > To: KWLUG discussion <kwlug-disc at kwlug.org>
> >
> > Subject: Re: [kwlug-disc] Have you played with locally installable and usable
> >
> > AI -> give a talk
> >
> > I didn't do anything beyond this single article, but the idea is neat: you
> >
> > download a single 4Gb file, make it executable and run it against images or
> >
> > text to generate your AI output, entirely locally.
> >
> > In this article they explain how to use it to rename photos in accordance
> >
> > with photos content.
> >
> > https://hackaday.com/2023/12/29/using-local-ai-on-the-command-line-to-rename-images-and-more/
> >
> > On Sat, Mar 30, 2024 at 5:39 PM Mikalai Birukou <mb at 3nsoft.com> wrote:
> >
> > >
> > > Probably will at some point. I entered this contest, and I'm waiting to
> > >
> > > hear back if I'm getting cloud access or hardware:
> > >
> > > https://www.hackster.io/contests/amd2023#challengeNav
> > >
> > > This is my proposal:
> > >
> > > https://www.hackster.io/contests/amd2023/hardware_applications/16336
> > >
> > > Contest is still open if you want to participate, but the hardware
> > >
> > > requests are finished.
> > >
> > > You can download most of the Open Source models here:
> > >
> > > https://huggingface.co/models
> > >
> > > Good article on how to get started:
> > >
> > > https://www.philschmid.de/fine-tune-llms-in-2024-with-trl
> > >
> > > The following heading in this llm fine tuning page makes me laugh and cry
> > >
> > > simultaneously, `with(xz)`:
> > >
> > > """
> > >
> > > 2. Setup development environment
> > >
> > > """
> > >
> > > I am listening to podcast
> > >
> > > >
> > > > https://oxide.computer/podcasts/oxide-and-friends/1692510 about Large
> > > >
> > > > Language Models, and idea comes up, if anyone of you have tried any
> > > >
> > > > locally usable LLM's, have trained it, tinkered with it, just make a
> > > >
> > > > "let me show" kind of talk. Seriously.
> > > >
> > >
> > > _______________________________________________
> > >
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> > >
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> > >
> >
> > --
> >
> > Alex.
> >
> > ----- End forwarded message -----
> >
> > --
> >
> > Events: https://feeds.off-topic.kwlug.org/
> >
> > Housing: https://unionsd.coop/
> >
> > Blog: http://pnijjar.freeshell.org/
> >
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> >
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> >
>
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