AI Dictionary
A clear, jargon-free glossary of AI concepts for humanities scholars.
What is this?
This dictionary explains AI terminology in plain language, with a focus on what matters for humanities research. No computer science degree required.
How to use
Browse the sidebar to find terms, or use the search bar. Each entry includes:
- Definition — What the term actually means
- Why it matters — How it's relevant to humanities work
- Examples — Concrete illustrations
Categories
- Models — LLMs, embeddings, and other AI systems
- Techniques — Prompting, fine-tuning, RAG, and more
- Concepts — Tokens, context windows, hallucinations
Contributing
Found an error or want to suggest a term? This dictionary is part of the DAIHUM project. Contributions welcome.