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Contribute to the Applying AI Guide
We welcome your contributions to the Applying AI Guide. The goal of this living document is to provide useful, up-to-date resources for understanding how design, build, and modify AI systems and products. AI system designs include application patterns like engineering user prompts and RAG. We welcome contributions that cover relevant topics throughout the AI research and development lifecycle.
Areas of interest:
- Ethical considerations and bias mitigation in AI
- Data collection and preprocessing techniques
- Model selection and evaluation metrics
- AI-powered user experience (UX) design
- Explainability and interpretability of AI models
- Deployment and monitoring of AI systems
- Edge AI and on-device machine learning
- AI in industry-specific applications (e.g., healthcare, finance, logistics)
- Integration of AI with existing IT infrastructure
- Human-AI collaboration and decision support
- Regulatory compliance and legal aspects of AI
- AI-driven innovation and emerging technologies
- Case studies and success stories of AI implementations
How to contribute
The sources for this guide are in this GitHub repo. Please either post issues or contribute changes as pull requests. Notice that every page has Edit this page on GitHub links, making it easy to view a page, then go straight to the source to make edits and submit a PR! This is the best way to help us fix typos and make similar small edits.
The README for the User Guide source repo explains more details for testing the website locally and for creating more extensive changes as PRs, such as adding new content.