-: That's it for this course.
I hope you got a lot out of it.
You learned a lot about open models, what they are,
how they work, about their hardware requirements
and quantization, and most importantly, of course,
how you can run them on your laptop, on your desktop,
on your server if you want to
with help of tools like LM Studio and Ollama.
You learned about all these configuration options
these tools give you,
the features they bring to the table.
You, for example, learned about
Ollama's powerful customization features.
We also had a look at programmatically using
these locally-running AI models,
and therefore you can, and you really should now use them
in future use cases, in your future work in the end,
no matter if that's asking standard questions,
analyzing data or documents,
or if you are building some AI-powered workflow
or application.
Because these tools, as you learn in this course,
give you many advantages.
They're essentially free to use
if you leave the hardware aside.
They give you full privacy and control and therefore,
especially also when used in conjunction
with those state of the art proprietary models,
they really unlock many exciting use cases
and can be a very, very useful tool.
I'm super excited to see which other open models
we'll see in the future,
and I'm super excited to see what you and I
and everyone else is building and doing with these models.
I hope you like the course.
Maybe I see you again in other courses.
Otherwise, of course, I wish you all the best
for your future career and your future AI work.