Spaces:
Running
Running
🤗 Assistants
Assistants are a great way to configure models to perform specific tasks. See this example:
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 - 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.
- Practical AI for Investigative Journalism - A six-session series led by Jonathan Soma, Journalism Professor at Columbia, covering real-life use cases in journalism and featuring numerous open-source tools.
- Wonder Tools - Jeremy Caplan, Director of Teaching and Learning at CUNY’s Newmark Graduate School of Journalism, curated a list of interesting Spaces with potential use cases in journalism.
- Tasks - Explore demos, use cases, models, datasets, and more to get started with tasks in computer vision, NLP, audio, multimodal, and reinforcement learning.
- 🤗 Courses - Learn about natural language processing (NLP), audio, computer vision, reinforcement learning and diffusion models.
- Open-Source AI Cookbook - 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 🤗 - A lot of useful resources from the Ethics & Society Team.
Add yours by creating a pull request!
People We’re Following
- Newsroom Robots - An insightful podcast about AI & Journalism by Nikita Roy
- Interconnects - A newsletter written by Nathan Lambert about important ideas of AI.
- JournalismAI - A project of the London School of Economics.
- Reuters Institute for the Study of Journalism