Using AI · Level 1 of 5 · Intro

What AI assistants are

What a chat assistant does, what it cannot do, and why it sometimes makes things up.

Study notes

AI chat assistants are built on large language models (LLMs). An LLM is trained on large amounts of text and generates a reply by predicting likely next words.
Because the model predicts plausible text, it can state wrong facts confidently. These errors are often called hallucinations.
Many assistants have a training cutoff date. Unless the tool can search the web, it may not know recent events.
Assistants are good at drafting, summarizing, rewording, brainstorming, and explaining. They are weaker at exact facts, math without a calculator tool, and anything they cannot see.
You stay responsible for what you send, publish, or decide based on AI output.

Quiz: 6 questions

Choose one answer for each question, then check your answers. Score 5 of 6 to pass. Then enter your name and email to download a PDF certificate and have a copy emailed to you. Answers are graded in your browser.

1. What is a large language model mainly trained to do?

Predict likely next words in text Look up facts in a verified database Copy answers from one website Run spreadsheets

2. An AI assistant gives you a confident answer with a made-up statistic. This is usually called:

A hallucination A firewall A cookie A token limit

3. Why might an assistant not know about last week's news?

Its training data has a cutoff date and it may not have web search AI cannot read English News is always blocked It only knows about math

4. Which task is an AI assistant usually best at?

Drafting and rewording text Guaranteeing legal advice is correct Knowing your bank balance Seeing your screen without access

5. Who is responsible for an email you send that an AI drafted?

You are The AI company only Nobody The recipient

6. Which statement is true?

AI output can be useful and still contain errors AI output is always fact-checked AI never repeats mistakes AI answers are legally binding

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