AI Quiz
Answer these questions to check your understanding of the whole AI tutorial.
How to Use This Quiz
- Read each question carefully and pick one answer.
- After answering, read the explanation, even if you were right.
- If you miss a question, go back to that lesson and read it again.
| Topic | Lesson |
|---|---|
| Basics and history | What is AI?, History |
| How AI learns | ML vs Deep Learning, Neural Networks |
| Modern AI | Large Language Models, Computer Vision |
| Real world | Daily Life, Ethics, Careers |
A Quick Review
Remember the "learning from data" idea from this tutorial:
Example
python
hours = [1, 2, 3]
marks = [50, 60, 70]
rate = (marks[-1] - marks[0]) / (hours[-1] - hours[0])
print("Predicted marks for 4 hours:", marks[-1] + rate)Output
Predicted marks for 4 hours: 80.0
And the next-word idea behind language models:
Example
text
Input: "The capital of Pakistan is"
Model: predicts the most likely next token -> " Islamabad"Questions
Exercise
Who asked "Can machines think?" and suggested a famous test in 1950?
Exercise
Which type of machine learning learns from examples that have correct answers (labels)?
Exercise
In a neural network, what is adjusted during training?
Exercise
What is a "hallucination" in a language model?
Exercise
What does OCR do?
Exercise
Which data type is deep learning especially good at?
Exercise
Which of these is the safest habit when using a public AI chatbot?
Exercise
What is a good first step for a beginner who wants an AI career?