WEBVTT

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<v ->That's it for this course.</v>

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I hope you got a lot out of it.

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You learned a lot about open models, what they are,

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how they work, about their hardware requirements

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and quantization, and most importantly, of course,

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how you can run them on your laptop, on your desktop,

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on your server if you want to

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with help of tools like LM Studio and Ollama.

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You learned about all these configuration options

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these tools give you,

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the features they bring to the table.

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You, for example, learned about

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Ollama's powerful customization features.

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We also had a look at programmatically using

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these locally-running AI models,

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and therefore you can, and you really should now use them

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in future use cases, in your future work in the end,

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no matter if that's asking standard questions,

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analyzing data or documents,

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or if you are building some AI-powered workflow

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or application.

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Because these tools, as you learn in this course,

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give you many advantages.

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They're essentially free to use

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if you leave the hardware aside.

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They give you full privacy and control and therefore,

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especially also when used in conjunction

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with those state of the art proprietary models,

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they really unlock many exciting use cases

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and can be a very, very useful tool.

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I'm super excited to see which other open models

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we'll see in the future,

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and I'm super excited to see what you and I

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and everyone else is building and doing with these models.

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I hope you like the course.

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Maybe I see you again in other courses.

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Otherwise, of course, I wish you all the best

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for your future career and your future AI work.