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Video Summary

Authored by Bryan William

Computers

7th Grade

Used 9+ times

Video Summary
AI

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19 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary difference between AI, Machine Learning, and Deep Learning?

AI is a type of Deep Learning, and Machine Learning is a broader concept
Machine Learning is a type of AI, and Deep Learning is a subset of Machine Learning
AI and Machine Learning are the same, but Deep Learning is different
AI is a subset of Deep Learning
Machine Learning and Deep Learning are identical

Answer explanation

Machine Learning is a subset of AI, and Deep Learning is a subset of Machine Learning, using neural networks.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an example of early AI technology?

Neural networks
Large Language Models
Expert systems
Deepfakes
Reinforcement Learning

Answer explanation

Expert systems were one of the first forms of AI before machine learning became dominant.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main function of Machine Learning?

Manually programmed instructions
Learning from data to make predictions
Generating new content
Running expert systems
Storing large data sets

Answer explanation

Machine learning enables systems to learn from data without explicit programming.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What makes Deep Learning different from Machine Learning?

Requires explicit programming
Does not rely on data
Uses neural networks with multiple layers
Only used for text analysis
Works only with labeled data

Answer explanation

Deep Learning uses multi-layered neural networks for complex pattern recognition.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why did AI adoption accelerate in the 2010s?

Introduction of expert systems
Advancement in computing power and deep learning models
Decline in interest in AI research
Government regulations promoting AI
Reduced need for training data

Answer explanation

Faster computing power and improved neural networks led to a major AI boom.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best describes Foundation Models?

AI models trained on large datasets to perform multiple tasks
Models that only work with structured databases
AI models that need human intervention for every decision
Small AI models built for single-use applications
AI models that do not require data training

Answer explanation

Foundation models like GPT-4 are trained on massive datasets and used for multiple applications.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does Generative AI produce new content?

It retrieves and directly copies information from existing sources
It recombines learned patterns to predict and create new data
It uses manual rules set by programmers
It only mimics existing images and text without creating new data
It uses only structured datasets for output

Answer explanation

Generative AI analyzes patterns and synthesizes new outputs rather than copying them.

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