Welcome to AI-Experiments, an open-source initiative by PeoplePlusAI that serves as a hub for cutting-edge artificial intelligence research and applications. Our repository is designed to be a collaborative platform where the community can explore and contribute to the advancement of AI technologies through shared knowledge and resources.
- Model Implementations: Dive into the latest AI models, including Large Language Models (LLMs), multimodel systems, and more.
- Interactive Notebooks: Explore our Jupyter notebooks for hands-on experience with AI concepts and applications.
- Use-Cases & Case Studies: Learn from real-world scenarios across various industries and domains.
- Guides & Tutorials: Enhance your skills with our in-depth guides, ranging from beginner-friendly tutorials to advanced deep dives.
To begin experimenting with our AI models and guides, clone the repository:
git clone https://github.com/PeoplePlusAI/AI-Experiments.git
cd AI-ExperimentsNavigate through our directories to find the resources you need. If you're new to AI, start with our beginner-friendly notebooks and gradually progress to more complex models and case studies.
Your contributions are what make PeoplePlusAI a thriving AI community. We encourage you to contribute by:
- Proposing new models or improvements.
- Sharing your own use-cases and studies.
- Enhancing our educational guides.
Please read our CONTRIBUTING.md guidelines to learn how you can make impactful contributions.
Join our discussions or ask questions by creating an issue.
This project is released under the MIT License. See the LICENSE file for more details.
We're excited to see how you'll leverage AI-Experiments to push the boundaries of what's possible with AI!