So welcome to the AI Plumers Devroom.
We're doing it for the second time.
Last year, it was called Low Railway Engineering in Hacken,
but through like this year and a half,
the new term appeared AI Plum in,
just like Linux Plum in, that's what we do.
So welcome to the Devroom.
First of all, let's thank you to the sponsors.
So we have two sponsors.
I found an eigenface.
There are lots of stickers for free to grab them.
So there would be like other activities
and some presents for speakers.
So we'll talk about it a little later.
The speakers dinner is today in the evening as well.
And there is a fringe event in Monday.
So you all invited, but please register.
It's also in the process, but not in the university.
And we just wanted to acknowledge that this event will not be possible
first of all without the sponsors.
Because again, there's a lot of things that we need
aside from people helping organizing and showing up.
But obviously, it probably wouldn't be possible without the people organizing.
So you just see two of us co-organizers here,
but there's actually a group of more like six people.
And you will see them at various places.
So thank you so much to our sponsors and our co-organizers.
If you think round of applause, yes.
It's kind of funny because we're running it for the second year.
And it's really cool that every time this Devroom happens.
And the event happens like about two weeks before the Devroom.
And then everything is just about that event.
Last year, it was all about DeepSeek, you know,
how the model appeared and changed, you know, how we think about AI models.
And you know, open models in particular.
These year, of course, it's the cloud as in, you know, cloud's bought.
And, you know, mold bought nowadays, you know,
exactly, open claw.
Yes, yes, some people pay attention.
It's kind of cool that AI is so quickly developing.
But we're still here to talk about things that much more at the planning level,
much more fundamental level.
And that's why you will not hear about a lot of things that are really cool,
but it's just out of scope for this Devroom, right?
You know, maybe there will be other Devrooms in the following years,
but this one is just not one of them.
So again, training is out of scope.
Pythors is out of scope.
You know, close source proprietary hardware is out of scope.
Some things that are sort of in scope,
and we might actually cover them on Monday at this event.
MCP, agentic hacking, and obviously open claw.
What you hear for though is modern inference frameworks.
And by those, I mean things like Lama CPP,
which is, you know, first few talks in the day,
tiny grad, GML, you know, things like that.
Unfortunately, the guy who is number one, you know,
number second, you know, depending on how you count quantization expert in the world,
could not come.
So we had to replace his talk, and unfortunately,
quantization will only be covered in the hallway track,
but it's definitely in scope.
But then inference management and deployment,
you know, sometimes at scale, again,
will be covered kind of in the midday,
and open inference, and sort of inference focused hardware
will be the last portion of the day.
So don't miss that because there's a lot of cool talks there.