Call for Contributions

Hello folks! 🙋‍♀️
Wanted to post here the roadmap we have for the cookbook. The cookbook is made for industry/applied AI use cases.
In the upcoming weeks, we would like to have more recipes on the following topics:

- **Industry-specific recipes:** domains like biomedical, legal, finance, and so on require know-how in handling data and the model. You can either contribute an end-to-end Hugging Face example with domain-specific data (can be NLP, computer vision, anything) or demonstrate your library.
- **Use cases in other domains**: are missing, such as computer vision, multimodal and more. Would be great to have more notebooks.
- **Niche techniques built for production**: Such as making model faster for real-time prediction with quantization/optimization, or data privacy preservation techniques like federated learning.

In all of above, you can either do Hugging Face e2e workflows or demonstrate your own library or any library you'd like to use.

Feel free to let us know or open a discussion or issue here if you have ideas and you'd like to validate ☺️

No file, test, or entry point is named. Start by reviewing existing cookbook notebooks and the contribution discussion, then choose a specific industry, domain, or production technique to define a recipe scope. Done means adding a reviewed end-to-end example or library demonstration, but this issue does not specify which one.

Written by the indexing model from the issue text.