AI Basics Quiz: What Do You Actually Know About AI?

What is AI 'hallucination'?

When AI becomes confused and stops generating responses When AI translates text incorrectly because it doesn't know the language When AI produces visual artifacts or distorted images When AI generates plausible-sounding but factually incorrect content — stated confidently, without any signal to the user that the information may be wrong

Which of these everyday products uses machine learning or AI?

A basic alarm clock — it does only what it's explicitly programmed to do A standard calculator — it follows fixed mathematical rules with no learning Netflix's recommendation engine — it uses machine learning to predict what content you'll enjoy based on your viewing patterns A physical thermostat with a timer — it executes pre-set rules without learning

What happens when a conversation exceeds an AI's context window limit?

The AI stores the overflow in external memory and retrieves it when needed The AI loses access to text that falls outside the window — it effectively 'forgets' earlier parts of the conversation and may give inconsistent responses Exceeding the context window triggers an automatic upgrade to a larger model The AI stops responding and requires a new conversation to be started

What are 'parameters' in a large language model?

The settings menu where users configure how the AI responds Billions of numerical values adjusted during training that encode the model's learned patterns — they represent what the model 'knows' about language, facts, and reasoning The rules that prevent AI from producing harmful content The physical memory chips inside the servers that run the AI model

What is the '80/20 trap' in AI adoption?

Only 20% of AI tools are reliable; 80% are experimental and should not be used at work AI tools cost 80% more than traditional software and deliver only 20% of the value AI can only be used for 20% of any professional's tasks; 80% must remain fully human AI handles 80% of a task well but fails at the remaining 20% in ways requiring human correction — making autonomous completion risky, but AI-assisted draft work highly valuable