Introduction Engaging quizzes with well-written questions and distractors are one of the most effective ways to help people learn and retain knowledge. However, manually creating a large volume of high-quality quiz questions is a tedious and time-consuming process, even for subject matter experts. Recent advancements in large language models (LLMs) open up an exciting possibility: what if we could automatically generate complete quizzes, including realistic incorrect answer choices, simply by ingesting a corpus of training material into an LLM?