Open-Source AI Cookbook
The Open-Source AI Cookbook is a collection of notebooks illustrating practical aspects of building AI applications and solving various machine learning tasks using open-source tools and models.
Latest notebooks
Check out the recently added notebooks:
- Fine-tuning a Vision Transformer Model With a Custom Biomedical Dataset
- Using LLM-as-a-judge 🧑⚖️ for an automated and versatile evaluation
- Create a legal preference dataset
- Suggestions for Data Annotation with SetFit in Zero-shot Text Classification
- Building RAG with Custom Unstructured Data
You can also check out the notebooks in the cookbook’s GitHub repo.
Contributing
The Open-Source AI Cookbook is a community effort, and we welcome contributions from everyone! Check out the cookbook’s Contribution guide to learn how you can add your “recipe”.
< > Update on GitHub