Generative AI Unwrapped: Key Concepts and Everyday Examples Quiz

1. Understanding Generative AI

   Which of the following best describes generative AI?

   1. A tool that creates new and original content based on learned patterns
   2. A system designed only to classify existing data into categories
   3. A method to store large amounts of information securely
   4. A device that assists in hardware repairs
   5. A calculator for solving only mathematical equations

2. Core Capabilities

   What is a primary capability of generative AI compared to traditional AI?

   1. It can invent text, images, or music never seen before
   2. It only sorts emails into folders
   3. It exclusively translates between languages
   4. It only recognizes numbers in spreadsheets
   5. It only predicts tomorrow's weather

3. Generative AI Example Scenario

   A student uses a computer tool to write a unique story by entering a topic. Which AI type is this?

   1. Generative AI
   2. Discriminative AI
   3. Reactive AI
   4. Manual AI
   5. Derivative AI

4. Common Use Case

   Which of the following is a common use case for generative AI?

   1. Creating realistic human faces for video games
   2. Sorting emails by date
   3. Counting steps with a fitness tracker
   4. Calculating basic arithmetic
   5. Adjusting screen brightness automatically

5. Data for Training

   What does generative AI typically use to learn and generate new content?

   1. Large datasets of examples
   2. Only a single example
   3. No data, just rules
   4. Manual coding for each output
   5. Fixed pre-set answers

6. Types of Outputs

   Which output can generative AI produce besides text?

   1. Images
   2. Laws
   3. Physical objects
   4. Electricity
   5. Vitamin supplements

7. Distinguishing Generative AI

   If an AI system writes a poem that never existed before, what is this an example of?

   1. Generative AI in action
   2. Data encryption
   3. Internet search
   4. Lossy compression
   5. Legacy systems

8. Generative AI Use in Education

   How might generative AI help students in their studies?

   1. Writing unique practice questions based on a topic
   2. Measuring their body temperature
   3. Only blocking distracting websites
   4. Organizing physical textbooks
   5. Correcting software installation errors

9. Generative AI Limitation

   Which is a limitation of generative AI models?

   1. They might produce content that is inaccurate or nonsensical
   2. They can physically manufacture products
   3. They always require human emotions to function
   4. They can only work when there is no data
   5. They are immune to making errors

10. Recognizing Generative AI Techniques

    Which technique is commonly used in advanced generative AI models?

    1. Neural networks
    2. Photo synthesis
    3. Biological cloning
    4. Oil painting
    5. Manual typing