The Plain-English
AI Glossary
Short definitions of the AI and ML terms that matter for product teams and founders. No academic language.
Terms Worth Knowing
Click any term to read a full plain-English explanation with a real example and guidance on when you actually need it.
Retrieval-Augmented Generation (RAG)
How AI systems look things up in your own data before answering.
Read definitionFine-tuning
Teaching a pre-trained model to behave exactly the way your use case requires.
Read definitionVector Database
The storage layer that makes semantic search and RAG systems possible.
Read definitionLarge Language Model (LLM)
The engine behind most modern AI features. GPT-4, Claude, Llama, and their cousins.
Read definitionMLOps
Keeping machine learning models healthy, monitored, and improving in production.
Read definitionComputer Vision
Giving software the ability to see and understand images and video.
Read definitionNatural Language Processing (NLP)
How software reads, understands, and generates human language.
Read definitionWritten for the people building products, not writing papers
Every definition here is written for founders, product managers, and engineers who need to make real decisions about AI. If you want the academic version, Wikipedia has it. If you want to understand what something actually does and whether you need it, you are in the right place.
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