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Basics of AI

Test your knowledge of basic AI

1. 1

   What does AI stand for?

   • Automated Internet
   • Artificial Intelligence
   • Advanced Integration
   • Algorithmic Information
2. 2

   What is machine learning?

   • A method where systems learn patterns from data
   • A computer monitor
   • A type of battery
   • A programming keyboard
3. 3

   What is supervised learning?

   • Learning from labeled examples
   • Learning without any data
   • Only playing games
   • Manual programming of every output
4. 4

   What is unsupervised learning?

   • Learning patterns from unlabeled data
   • Learning only from labeled data
   • Writing code manually
   • Running a database
5. 5

   What is reinforcement learning?

   • Learning through rewards and penalties
   • Learning from labeled images only
   • Sorting files
   • Compressing data
6. 6

   What is a training dataset?

   • Data used to learn model parameters
   • Data used only for printing
   • A computer processor
   • A password database
7. 7

   What is a test dataset?

   • Data used to evaluate a trained model
   • Data used to train only
   • A source-code editor
   • A network cable
8. 8

   What is a feature in machine learning?

   • An input variable or measurable property
   • A model's password
   • A processor
   • A programming language
9. 9

   What is a label?

   • The target value associated with an example
   • A CPU instruction
   • A database password
   • A network address
10. 10

    What is classification?

    • Predicting categories
    • Predicting only continuous values
    • Deleting data
    • Compressing files
11. 11

    What is regression in machine learning?

    • Predicting continuous numerical values
    • Assigning only text labels
    • Deleting records
    • Encrypting data
12. 12

    What is overfitting?

    • A model memorizing training data and generalizing poorly
    • A model having no parameters
    • A computer overheating
    • A model using no data
13. 13

    What is underfitting?

    • A model too simple to capture important patterns
    • A model memorizing every example
    • A model with infinite complexity
    • A model with no inputs
14. 14

    What is an artificial neural network inspired by?

    • Biological nervous systems
    • Mechanical engines
    • Databases
    • Operating systems
15. 15

    What is a neuron in a neural network?

    • A computational unit
    • A physical brain cell only
    • A database
    • A network cable
16. 16

    What is a parameter in a machine-learning model?

    • A learned value used by the model
    • A user password
    • A dataset filename
    • A computer monitor
17. 17

    What is a loss function?

    • A measure of model prediction error
    • A hardware component
    • A data type
    • A programming language
18. 18

    What is an optimizer used for?

    • Adjusting model parameters to reduce loss
    • Storing images
    • Creating passwords
    • Displaying webpages
19. 19

    What is deep learning?

    • Machine learning using multilayer neural networks
    • A type of spreadsheet
    • A database query language
    • A computer cable
20. 20

    What is generative AI?

    • AI that can generate new content
    • AI that only sorts files
    • AI that only measures temperature
    • AI that cannot produce outputs
21. 21

    What is an AI prompt?

    • An instruction or input given to an AI system
    • A computer processor
    • A training label only
    • A network protocol
22. 22

    What is natural language processing?

    • AI for understanding or generating human language
    • AI for controlling motors only
    • AI for image compression
    • AI for electricity generation
23. 23

    What is computer vision?

    • AI for processing and interpreting visual information
    • AI for managing databases
    • AI for writing only
    • AI for controlling keyboards
24. 24

    What is bias in an AI model?

    • Systematic tendency that can produce unfair or inaccurate outcomes
    • A faster processor
    • A type of storage
    • A programming language
25. 25

    What is hallucination in generative AI?

    • A generated output that is false or unsupported
    • A model shutdown
    • A hardware failure
    • A perfectly verified answer