Skip to content

RichmondAlake/cookbook

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Open-Source AI Cookbook

This repo contains community-driven practical examples of building AI applications and solving various tasks with AI using open-source tools and models.

Contributing to the cookbook

Everyone is welcome to contribute, and we value everybody's contribution! There are several ways you can contribute to the Open-Source AI Cookbook:

  • Submit an idea for a desired example/guide via GitHub Issues.
  • Contribute a new notebook with a practical example.
  • Improve existing examples by fixing issues/typos.

Before contributing, check currently open issues and pull requests to avoid working on something that someone else is already working on.

What makes a good Cookbook notebook?

We believe that the Cookbook will be the most beneficial for everyone in the community if the Jupyter notebooks have the following qualities:

  • Practical: Your notebook should provide an illustration of an end-to-end project or a specific aspect of AI development. Aim for real-world applications, but try to avoid overcomplicating. Clearly explain the objectives, challenges and steps involved.
  • Build with open-source tools and models: Utilize open source libraries, datasets, and pre-trained models available under permissive licenses. Include links to all resources used within the notebook.
  • Clearly written: Ensure your writing is clear, concise, and free from grammatical errors. Maintain a friendly and approachable tone throughout the notebook. Explain the steps you take to solve a problem, challenges, alternative approaches.
  • Executes without errors: Test your notebook to avoid runtime errors.
  • Adds to existing "recipes": Before submitting, review existing notebooks to confirm that the subject hasn't been covered yet. We welcome diverse use cases, modalities, techniques, and approaches!

Creating a pull request

When contributing a new example/guide, open a pull request and tag @MKhalusova for a review.

If using any images in the markdown, upload them to the huggingface/cookbook-images dataset. Then use the link to the image in your markdown, e.g.:

![RAG diagram](https://huggingface.co/datasets/huggingface/cookbook-images/resolve/main/rag-diagram.png)

Once your pull request is merged, the notebook will show up in the Open-Source AI Cookbook.

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%