This interactive quiz tests how well you know the vocabulary that runs through almost every conversation about modern AI. If you have read about ChatGPT, large language models, or building with AI, you have met terms like token, embedding, hallucination, and temperature — but it is easy to use them loosely. The quiz checks whether you really know what each one means.
How the quiz works
You are shown one term or concept at a time as a multiple-choice question. Pick an answer and the quiz tells you instantly whether you were right, then gives a one- or two-sentence explanation of the correct answer. Because the explanation appears whether you score the point or not, the quiz doubles as a fast way to learn the terms you do not yet know. At the end you get a total score and can retake it to lock in the concepts you missed.
Why these terms matter
The words tested here are the working vocabulary of anyone using or building with AI. Knowing the difference between fine-tuning and RAG changes how you would customise a model. Understanding tokens explains why API calls cost what they do and why long documents get truncated. Knowing what hallucination is — and is not — shapes how much you trust an answer. Getting the vocabulary right is the foundation for reasoning clearly about everything else in AI.
Tips for getting a high score
Read every option before answering; the distractors are written to be plausible. When you are unsure, eliminate the answers that are obviously about a different concept, then choose between what is left. Most importantly, read the explanation even on questions you get right — it often adds nuance that sharpens your understanding for the next, harder question.