So I hope you enjoyed that whirlwind tour of Google Colab.
Here's just a little screenshot example of how easy it is to use it.
You can just put in a bunch of code.
This is of course, hugging face code that we're going to be getting deep into very, very soon.
And in this case, I used the flux model, which is you may have noticed it was one of the top trending
models when we were looking at models in hugging face.
It is a text to image generation model from Black Forest that is a particularly, uh, exciting in that
it's one of the really strong open source image generation models.
And I prompted it with a futuristic class full of students learning AI coding in the surreal style of
Dall-E.
Uh, and this is what came up, which is wonderful, wonderful.
Uh, and so it gives you a sense of how quickly you can use Google Colab to be, uh, working with,
uh, high powered GPUs in the cloud.
And with that, we, uh, take a moment to take stock of our progress.
We are now ready.
You are well positioned to be beginning on your open source adventure.
Uh, in addition to what you could already do confidently coding with frontier APIs and building multimodal
AI assistants, you can now navigate through Hugging Face and Google Colab and you are ready for action.
So next time you're going to be able to run open source models, there's two different levels of API
in hugging face, and you're going to understand what that means and what they are.
And then we're going to start with the first of those, which is called pipelines.
You're going to be able to use pipelines for a bunch of different AI tasks, including generating text,
images and audio using open source models.
I can't wait.