[kwlug-disc] Have you played with locally installable and usable AI -> give a talk

[Alex Korobkin]

Nah, it's my fault, sent it from wrong alias.

On Sat, Mar 30, 2024 at 11:50 PM Paul Nijjar via kwlug-disc <
kwlug-disc at kwlug.org> 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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> >
>
>
> --
> Alex.
>
> ----- End forwarded message -----
>
> --
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