Free quiz course
AI Fundamentals
Test your understanding of how LLMs actually work: models, tokens, context windows, temperature, hallucinations, and training vs inference.
4 chapters 40 questions Instant explanations
- 01 Chapter 1: Models & Training How large language models are built, trained, and deployed — from pretraining and fine-tuning to open weights and the difference between training and inference.
- 02 Chapter 2: Tokens & Context Windows How text becomes tokens, why counts affect cost and limits, and what happens when contexts grow long — including attention tradeoffs and caching.
- 03 Chapter 3: Generation & Sampling How models turn logits into text — sampling parameters, streaming, determinism, and why two runs with the same prompt can differ.
- 04 Chapter 4: Limits & Failure Modes Where LLMs break down — hallucinations, sycophancy, injection, stale knowledge, and weak spots — plus when to trust output versus verify externally.
Each chapter is a short quiz: one question at a time, with immediate feedback and an explanation after every answer. Wrong answers teach you as much as right ones.
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