AITerms is an open-source GitHub organization dedicated to building high-quality AI terminology resources for developers, researchers, educators, students, and the global AI community.
Our mission is to make artificial intelligence terminology more accessible, structured, reusable, and machine-readable.
To become one of the world's largest open repositories of AI terminology, definitions, taxonomies, glossaries, and knowledge resources.
- AI terminology databases
- AI dictionaries
- AI glossaries
- AI acronyms
- AI taxonomies
- AI concept libraries
- Prompt engineering references
- LLM terminology
- Machine learning vocabulary
- NLP terminology
- Computer vision terminology
- AI safety terminology
- Robotics terminology
- Knowledge graph resources
- Educational datasets
- Developer tools
Projects may provide data in multiple open formats:
- JSON
- CSV
- YAML
- Markdown
- SQLite
- XML
- Open Source
- Community Driven
- Human Readable
- Machine Readable
- Version Controlled
- Developer Friendly
- Easy to Integrate
- Language Agnostic
- Well Documented
We welcome contributions from the community.
You can contribute by:
- Adding new AI terms
- Improving existing definitions
- Fixing inaccuracies
- Expanding multilingual translations
- Improving documentation
- Reporting issues
- Suggesting new projects
Please feel free to open an Issue or submit a Pull Request.
AITerms is designed for:
- Developers
- Researchers
- Students
- Educators
- Technical Writers
- Content Creators
- AI Startups
- Open Source Communities
Each repository contains its own license unless otherwise specified.
Build an open, accurate, and community-maintained ecosystem of artificial intelligence terminology that is easy to search, easy to integrate, and freely available for everyone.
Together, we make AI knowledge more open.