Quiz: How LLMs Work

5 questionsNo time limitPass: 60%+10 XP on first pass

What an LLM really does (predict the next token), tokens and context windows, training vs using a model, why models make things up, what they're good and bad at, and what an "AI engineer" builds around them — with a tiny runnable next-word predictor.

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Question 1
What does an LLM fundamentally do?
Searches the internet for each answerPredicts the next token based on the text so far, repeatedlyLooks up answers in a databaseRuns a rule written by programmers for each question
Question 2
Why does a chat app send the whole conversation with every request?
To make the request biggerThe model has no memory between callsThe API requires exactly ten messagesTo train the model
Question 3
What is a hallucination?
A fluent, confident answer that is not trueA slow responseAn error message from the APIA refusal to answer
Question 4
As an AI engineer building a college help bot, what do you mainly control?
The model's parametersThe training data of the modelThe prompt, the data you send, the tools allowed and the evaluationThe GPU hardware of the AI lab
Question 5
Which task should an LLM hand to a tool or code instead of doing itself?
Summarising a meetingRewriting an email more politelyExact arithmetic on long numbersExplaining recursion

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