Spaces:
No application file
No application file
| title: README | |
| emoji: 📉 | |
| colorFrom: indigo | |
| colorTo: blue | |
| sdk: gradio | |
| pinned: false | |
| license: apache-2.0 | |
| A blueprint for AI development, focusing on applied examples of RAG, information extraction, analysis and fine-tuning in the age of LLMs and agents. It is a more practical approach that strives to show the application of some of the theoretical learnings from [the smol-course](https://github.com/huggingface/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](https://huggingface.co./docs/hub/en/spaces-sdks-gradio), which you can directly use as microservices through [the Gradio Python Client](https://www.gradio.app/guides/getting-started-with-the-python-client). All the code and demos can be used in a private or public setting. | |
| [Code on GitHub](https://github.com/huggingface/smol-blueprint) |