LLM Basics Complete

LLM Basics Quiz

Test your understanding with 5 questions

Question 1 of 5

What does an LLM actually do?

Searches a database for the best answer Predicts the most likely next token based on patterns Understands and reasons about the meaning of text Retrieves information from the internet in real-time

Question 2 of 5

What is a "token" in the context of LLMs?

A complete word or sentence A unit of text, roughly 3-4 characters An API access key A type of neural network layer

Question 3 of 5

Which prompt is most effective?

"Fix my code" "Make it better" "In src/auth.js line 42, add a null check before accessing user.id" "Fix the bug, add tests, refactor, and update the docs"

Question 4 of 5

Why do LLMs "hallucinate" (generate false information)?

They intentionally deceive users They generate plausible-looking text even when they don't know the answer Their training data is all false The internet connection is unstable

Question 5 of 5

How can you reduce hallucinations when using an LLM?

Ask the same question multiple times Provide actual source material instead of asking from memory Use longer prompts with more details Always trust the first answer

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LLM Basics Quiz

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