Maximilian: So finally at this point,
we have a good understanding of what open models are,
why you might wanna use them,
where you can find them,
on Hugging Face, for example,
and whether you can run them on your system or not.
Therefore, now finally,
it's time to dive into the first application,
the first major tool we'll focus on in this course
that does allow you to download
and run these models on your system.
And we'll start with LM Studio,
because LM Studio is an amazing application
that gives you a great,
very user-friendly user interface
that makes running and working with open models
locally on your system a breeze.
Therefore, in this section,
we'll take a look at how you can install
and then also use LM Studio.
We'll take a look at its core features.
We'll also dive into advanced configuration options
provided by LM Studio
because despite it being quite approachable
and having a great user interface,
it does indeed allow you to configure how models are loaded
and how you are working with these models in depth.
And therefore, of course,
we'll also take a look at some example use cases
or usage scenarios.
We will also explore programmatic usage
because despite LM Studio having this great user interface,
which may be the main way of using LM Studio for many users,
despite having that LM Studio,
indeed also exposes a web server
that allows you to easily interact
with those loaded large language models programmatically
so that you could build your own internal applications,
AI agents, AI automations, whatever,
and use these locally running open large language models
in those AI-powered applications.
So we will also explore how you could do that.