Name: ____________________ Date: ____________________
Vocabulary
Review key vocabulary words from the reading.
artificial intelligence
noun
A computer system that can learn, understand, and figure things out like humans do, but it is
made by humans, not natural.
Artificial intelligence helps your phone unlock with your face.
Machine Learning
noun
A part of artificial intelligence where computers learn things without being told exactly how to
do it, by looking at lots of information.
Machine Learning can find patterns in many pictures to tell the difference between cats and
dogs.
Deep Learning
noun
A more advanced type of Machine Learning that uses computer systems called neural
networks, which are like many layers of connections, similar to how our brains work.
Deep Learning helps computers understand speech and write text.
neural networks
noun
Computer systems that are designed to work like the human brain, with many connections and
layers, used in Deep Learning.
Deep Learning uses neural networks to recognize images and sounds.
Foundation Models
noun
Deep Learning models that have been trained on a very large amount of data, acting as a base
for building other specific artificial intelligence models.
GPT-4 is an example of a Foundation Model that can create new text.
Generative AI
noun
A type of artificial intelligence that can create new things, such as text, images, or audio, based
on what it has learned.
Generative AI can make new songs or pictures that look real.
Vocabulary
Large Language Models
noun
Generative AI models that are trained on huge amounts of text data to predict the next word or
sentence, used in tools like chatbots.
Chatbots often use Large Language Models to answer your questions.
Name: ____________________ Date: ____________________
Multiple Choice Questions
Answer the following multiple choice questions about the reading.
1. Which of the following is NOT explicitly mentioned as an example of AI being used in
everyday life?
A. Recommendations on YouTube or Netflix
B. Helping doctors find cancer faster
C. Self-driving cars
D. Face ID to unlock phones
2. What is the primary characteristic that distinguishes 'deep learning' from general
'machine learning'?
A. Deep learning models require explicit programming for every task.
B. Deep learning focuses exclusively on image recognition tasks.
C. Deep learning models are always trained on smaller datasets.
D. Deep learning uses neural networks with multiple layers, mimicking the human brain.
3. What is the main purpose of 'Foundation Models'?
A. To replace all other forms of AI development.
B. To provide definitive answers to complex philosophical questions.
C. To serve as a base for building more specific AI models, avoiding starting from scratch.
D. To exclusively generate new audio and video content.
Name: ____________________ Date: ____________________
Short Answer Questions
Answer the following short answer questions about the reading.
1. How does the passage explain the difference between 'natural intelligence' and
'artificial intelligence'?
2. What is the role of 'neural networks' in deep learning, and how are they described?
3. we don't always understand why a machine learning model gives a certain answer.
What example does it use to illustrate this concept?
Name: ____________________ Date: ____________________
Brace Map: Whole to Parts
Brace Map: This helps relationships of concepts and objects. It allows you to break a concept into
its components for a deeper analysis. As you move through the process of making this map, the
parts of the object become "smaller" and more specific
Instructions: Complete the Brace Map below by writing the object or concept on the left and then
breaking it down into smaller and smaller parts and components.
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