Chapter 1: Information Technology and Society · Term 1
Lesson 1-2 explained: How AI Works
AI is the broad field; machine learning sits inside it, deep learning inside machine learning, and today's generative AI is built on deep learning — from the broadest idea to the most specialized.
Lesson summary
These are all examples of AI, but they are not all the same kind. AI includes machine learning, within machine learning is deep learning, and today's generative AI systems are built on deep learning — a series of nested technologies, each more specialized than the last.
Takeaway: AI is the broad field; machine learning sits inside it, deep learning inside machine learning, and today's generative AI is built on deep learning — from the broadest idea to the most specialized.
Key terms
- Artificial Intelligence (AI)
- Machine learning
- Deep learning
- Generative AI
- Hallucination
Textbook page: Arabic book 12 · English book 12
Video lesson
Chapter 1, Information Technology and Society, in 8 minutes
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Free questions on this lesson
From the textbook question bank. Think of the answer first, then open it.
1. Which of the following is an example of deep learning as given in the book?
- A fixed list of banned words written by a programmer
- Paying with QR codes without cash
- Buying goods from an online shop
- Image analysis for autonomous driving
Answer
Correct answer: Image analysis for autonomous driving
Deep learning uses neural networks on large-scale data; examples are image analysis for autonomous driving and speech synthesis.
1. What AI is, and how the technologies nest · page 13
2. What sets deep learning apart within machine learning?
- It needs no data at all to learn patterns
- It uses neural networks with large-scale data
- It only runs inside quantum computers
- It relies on a fixed list of banned words
Answer
Correct answer: It uses neural networks with large-scale data
Deep learning is an advanced technology within machine learning using neural networks on large-scale data.
Terms table: AI, machine learning, deep learning, neural network, generative AI · page 14
3. What does deep learning need to learn complex patterns?
- A short list of rules
- A link to a VR headset
- Large-scale data
- Only a few examples
Answer
Correct answer: Large-scale data
Deep learning learns complex patterns using large-scale data.
Compare: machine learning and deep learning · page 14
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