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

[Mikalai Birukou]

> 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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