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A smol blueprint for AI development, focusing on applied examples of RAG, information extraction, analysis and fine-tuning in the age of LLMs. It is a more practical approach that strives to show the application of some of the theoretical learnings from the smol-course as an end2end real-world problem.

🚀 Web apps and microservices included!

Each notebook will show how to deploy your AI as a webapp on Hugging Face Spaces with Gradio, which you can directly use as microservices through the Gradio Python Client. All the code and demos can be used in a private or public setting. Deployed on the Hub!

Code on GitHub

models

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