AI & Machine Learning

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31 Terms

1
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Define Artificial Intelligence (AI)

Computer systems that are capable of performing complex tasks that humans can do

2
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Name 3 examples of complex tasks that AI can do

  • Reasoning

  • Making decisions

  • Solving problems

3
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Define Machine Learning

Enables computers to learn from data and make decisions without being programmed to do so

4
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Define Deep Learning

A method that teaches computers to process data in a way that is like the human brain

5
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Define Neural Network

Learns to recognise patterns by passing information layers and adjusting until it can predict on new data

6
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List the types of AI

  • Narrow / Weak AI

  • Artificial General Intelligence

  • Generative AI

7
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Define Narrow AI

Designed to perform a narrow set of tasks

8
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Define 3 characteristics of Narrow AI

  • Effective at a few tasks

  • Lacks understanding beyond its specific domain

  • Does not possess true intelligence

9
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List 3 examples of Narrow AI

  • Spam filters

  • Image recognition

  • Chatbots

10
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Define the function of spam filters

Detect and filter spam emails

11
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Define the function of image recognition

Identifies objects in photos

12
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Define the function of Chatbots

Provide customer service assistance on websites

13
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Define Artificial General Intelligence / General AI / AGI

AI that can understand, learn, and apply knowledge across a broad range of tasks

14
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Define 3 characteristics of AGI

  • Exhibits crativity

  • Can transfer knowledge from one domain to another

  • Able to learn new tasks

15
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Name 2 challenges of AGI

  • Replicating human-level understanding remains mostly unsolved

  • Could surpass human intelligence

16
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Define Generative AI

Can produce creative outputs that mimic human-created content

17
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Define 3 characteristics of Generative AI

  • Lacks understanding or awareness

  • Reproduces patterns it observes

  • Able to generate content

18
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Name 3 examples of Generative AI

  • GPT

  • Dall E

  • Music Generation

19
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Define the function of a GPT

Generates human like answers based on datasets

20
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Define the function of DALL E

Creates images based on text prompts

21
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Define the function of Music Generators

Generate music by analyzing patterns in existing compositions

22
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Differentiate each AI in terms of their scope

Narrow - limited

AGI - broad

Generative - task specific

23
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Differentiate each AI in terms of their learning transfer

Narrow - Cannot transfer knowledge

AGI - Can transfer knowledge across domains

Generative - Limited

24
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Differentiate each AI in terms of their understanding

Narrow - Pattern recognition only

AGI - Genuine Understanding

Generative - Mimics understading

25
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Differentiate each AI in terms of their awareness

Narrow - None

AGI - Hypothetically possible

Generative - None

26
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Differentiate between Artificial Intelligence and Deep Learning

AI - May need human intervention

Deep Learning - Little to no human intervention

27
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What is Machine Learning suitable for?

Building models from very large data sets with many features

28
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Name 3 examples of where Machine Learning is used

  • Healthcare

  • Education

  • Social Media

29
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Define the association between Machine Learning and Healthcare

Machine learning models can help doctors diagnose diseases through analysation

30
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Define the association between Machine Learning and Education

Machine learning can assist in grading essays through analysation - saves teachers time and provides feedback to students

31
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Define the association between Machine Learning and Social Media

Platforms use machine learning to decide which content to show based on previous interactions