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Define Artificial Intelligence (AI)
Computer systems that are capable of performing complex tasks that humans can do
Name 3 examples of complex tasks that AI can do
Reasoning
Making decisions
Solving problems
Define Machine Learning
Enables computers to learn from data and make decisions without being programmed to do so
Define Deep Learning
A method that teaches computers to process data in a way that is like the human brain
Define Neural Network
Learns to recognise patterns by passing information layers and adjusting until it can predict on new data
List the types of AI
Narrow / Weak AI
Artificial General Intelligence
Generative AI
Define Narrow AI
Designed to perform a narrow set of tasks
Define 3 characteristics of Narrow AI
Effective at a few tasks
Lacks understanding beyond its specific domain
Does not possess true intelligence
List 3 examples of Narrow AI
Spam filters
Image recognition
Chatbots
Define the function of spam filters
Detect and filter spam emails
Define the function of image recognition
Identifies objects in photos
Define the function of Chatbots
Provide customer service assistance on websites
Define Artificial General Intelligence / General AI / AGI
AI that can understand, learn, and apply knowledge across a broad range of tasks
Define 3 characteristics of AGI
Exhibits crativity
Can transfer knowledge from one domain to another
Able to learn new tasks
Name 2 challenges of AGI
Replicating human-level understanding remains mostly unsolved
Could surpass human intelligence
Define Generative AI
Can produce creative outputs that mimic human-created content
Define 3 characteristics of Generative AI
Lacks understanding or awareness
Reproduces patterns it observes
Able to generate content
Name 3 examples of Generative AI
GPT
Dall E
Music Generation
Define the function of a GPT
Generates human like answers based on datasets
Define the function of DALL E
Creates images based on text prompts
Define the function of Music Generators
Generate music by analyzing patterns in existing compositions
Differentiate each AI in terms of their scope
Narrow - limited
AGI - broad
Generative - task specific
Differentiate each AI in terms of their learning transfer
Narrow - Cannot transfer knowledge
AGI - Can transfer knowledge across domains
Generative - Limited
Differentiate each AI in terms of their understanding
Narrow - Pattern recognition only
AGI - Genuine Understanding
Generative - Mimics understading
Differentiate each AI in terms of their awareness
Narrow - None
AGI - Hypothetically possible
Generative - None
Differentiate between Artificial Intelligence and Deep Learning
AI - May need human intervention
Deep Learning - Little to no human intervention
What is Machine Learning suitable for?
Building models from very large data sets with many features
Name 3 examples of where Machine Learning is used
Healthcare
Education
Social Media
Define the association between Machine Learning and Healthcare
Machine learning models can help doctors diagnose diseases through analysation
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
Define the association between Machine Learning and Social Media
Platforms use machine learning to decide which content to show based on previous interactions