README.md

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title: README
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Welcome to Journalists on Hugging Face, a community exploring the intersection of journalism and AI in the spirit of openness and collaboration. Here, we aim to share knowledge, tools, models, datasets, and projects to help news professionals discover useful resources to inform their reporting on or with the technology. 

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  <p>🧑‍🤝‍🧑 Join us (by tapping the button in the top right 😉) in shaping the future of journalism and AI.</p>
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  <p>💬 Regularly check in on the <a href="https://huggingface.co/spaces/JournalistsonHF/README/discussions" target="_blank"><b>Community Tab</b></a> to share projects, ask questions, get feedback or report an issue.</p>
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  <p>👀 Take a peek at our collections at the bottom of this page for handy AI tools. </p>
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We’ve also curated some great links for you below:

## 🤗 Assistants

Assistants are a great way to configure models to perform specific tasks. We provide two helpful examples for journalists:

* [SEO Assistant - Optimize your content for search engines](https://hf.co/chat/assistant/66227594635ce17e1b021daf)

* [Tweet Generator - Instantly create engaging tweets with AI!](https://hf.co/chat/assistant/6625a823c4d7e049ca331a3c)

The prompts behind them are public. Feel free to tailor them to your needs. Also, share your ideas for other Assistants in the Community tab!       


## 🛠️ Resources
* [Open Source Models with Hugging Face](https://www.deeplearning.ai/short-courses/open-source-models-hugging-face/) - In this course from DeepLearning.AI & 🤗, you’ll select open source models from Hugging Face Hub to perform NLP, audio, image and multimodal tasks using the Hugging Face transformers library. Easily package your code into a user-friendly app that you can run on the cloud using Gradio and Hugging Face Spaces.
* [🤗 Courses](https://huggingface.co/learn/) - Learn about natural language processing (NLP), audio, computer vision, reinforcement learning and diffusion models.
* [Open-Source AI Cookbook](https://huggingface.co/learn/cookbook/index) - A collection of notebooks illustrating practical aspects of building AI applications and solving various machine learning tasks using open-source tools and models.
* [Ethics & Society at 🤗](https://huggingface.co/spaces/society-ethics/about) - A lot of useful resources from the Ethics & Society Team.

More resources coming soon      

## ☎️ Expert Directory

Coming soon      

## People We’re Following
* [Newsroom Robots](https://www.newsroomrobots.com/) - An insightful podcast about AI & Journalism by Nikita Roy
* [Francesco Marconi](https://www.linkedin.com/in/francescopmarconi/) - Applied XL CEO, he shares interesting thoughts on LinkedIn.
* [Interconnects](https://www.interconnects.ai/) - A newsletter written by Nathan Lambert about important ideas of AI.
* [Reuters Institute for the Study of Journalism](https://reutersinstitute.politics.ox.ac.uk/)

## Ping us!

* Florent Daudens - [Twitter](https://twitter.com/fdaudens), [LinkedIn](https://www.linkedin.com/in/fdaudens/)
* Brigitte Tousignant - [Twitter](https://twitter.com/BrigitteTousi), [LinkedIn](https://www.linkedin.com/in/brigitte-tousignant/)

## 🙏
Thanks to [Avijit Ghosh](https://huggingface.co/evijit), [Yacine Jernite](https://huggingface.co/yjernite) and [Irene Solaiman](https://huggingface.co/irenesolaiman) for their advice on building this community.