🧠 Quiz: Core AI Concepts, Tools, and Myths
Question 1 (Multiple Choice)
How does a Large Language Model (LLM) determine what text to output?
- A) It uses human intuition and lived experiences to deeply understand your prompt.
- B) It acts as a predictive text generator by calculating probabilities to guess the next logical word.
- C) It searches an internal database for pre-written human answers matching your exact query.
- D) It connects to a human specialist who drafts the response behind the scenes.
Correct Answer: B
Explanation: According to the module, an LLM functions as a hyper-advanced predictive text generator. It calculates mathematical probabilities based on billions of pages of text to guess what word should logically come next.
Explanation: According to the module, an LLM functions as a hyper-advanced predictive text generator. It calculates mathematical probabilities based on billions of pages of text to guess what word should logically come next.
Question 2 (True / False)
Statement: The primary operational difference between an AI assistant and an AI agent is that an assistant waits for your command at every step, whereas an agent can plan steps and act autonomously to achieve a broad goal.
Correct Answer: True
Explanation: The module specifies that while an assistant requires step-by-step commands, an autonomous AI agent uses an LLM as its “brain” to independently plan steps, use software, and execute actions to reach a broad goal.
Explanation: The module specifies that while an assistant requires step-by-step commands, an autonomous AI agent uses an LLM as its “brain” to independently plan steps, use software, and execute actions to reach a broad goal.
Question 3 (Multiple Choice)
Which of the following software tools is explicitly categorized by the module as an example of an AI Assistant?
- A) Linux
- B) Windows 11
- C) Copilot
- D) Python Interpreter
Correct Answer: C
Explanation: The module explicitly lists ChatGPT, Claude, Gemini, and Copilot as examples of specific applications built on top of LLMs to serve as user-facing AI assistants.
Explanation: The module explicitly lists ChatGPT, Claude, Gemini, and Copilot as examples of specific applications built on top of LLMs to serve as user-facing AI assistants.
Question 4 (True / False)
Statement: Because AI tools are highly advanced, they possess an automatic, mind-reading understanding of what you mean, regardless of how vague your input text is.
Correct Answer: False
Explanation: This is a common myth. The module states that AI cannot read your mind and responds strictly to the explicit text you type. Poor input leads directly to poor output.
Explanation: This is a common myth. The module states that AI cannot read your mind and responds strictly to the explicit text you type. Poor input leads directly to poor output.
Question 5 (Multiple Choice)
What does the term “hallucination” refer to in the context of Large Language Models?
- A) The AI software temporarily shutting down due to server overload.
- B) A security breach where unauthorized users gain access to user prompts.
- C) The mathematical calculation used to read billions of text pages.
- D) The generation of realistic-sounding falsehoods by the AI.
Correct Answer: D
Explanation: The module highlights the misconception that AI is always factually accurate, noting that it can generate realistic-sounding falsehoods, commonly called “hallucinations.”
Explanation: The module highlights the misconception that AI is always factually accurate, noting that it can generate realistic-sounding falsehoods, commonly called “hallucinations.”