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