,Contents
1 The rise of machine intelligence
1.1 What is artificial intelligence?
1.2 The AI revolution
1.3 Error-prone intelligence
1.4 Chatbots
1.5 Looking ahead
2 AI mastery: Essential techniques, Part 1
2.1 Expert systems
2.2 Business rules management system
2.3 Case-based reasoning
2.4 Fuzzy logic
2.5 Genetic algorithms
3 AI mastery: Essential techniques, Part 2
3.1 Data mining
3.2 Decision trees for fraud prevention
3.3 Artificial neural networks
3.4 Deep learning
3.4.1 The benefits of deep learning
3.4.2 Limitations of deep learning
3.5 Bayesian networks
3.6 Unsupervised learning
3.7 So, what is artificial intelligence?
,4 Smart agent technology
4.1 Principles of smart agents
4.1.1 Adaptability: The true mark of intelligence
4.1.2 Smart agent language
5 Generative AI and large language models
5.1 Generative artificial intelligence
5.2 Large language models
5.3 ChatGPT
5.3.1 How ChatGPT creates human-like text
5.3.2 ChatGPT hallucination
5.4 Bard
5.5 Humans vs. LLMs
5.6 AI does not understand
5.7 Benefits of LLMs
5.8 LLM limits
5.9 Generative AI and intellectual property
5.10 Risks of generative AI
5.11 LLMs and the Illusion of Understanding
6 Human vs. machine
6.1 The human brain
6.1.1 Thoughts
6.1.2 Memory
6.1.3 The subconscious mind
6.1.4 Common sense
, 6.1.5 Curiosity
6.1.6 Imagination
6.1.7 Creativity
6.1.8 Intuition
6.1.9 Analogy
6.2 Human vision vs. computer vision
6.2.1 AI and COVID
6.2.2 Image reasoning
7 AI doesn’t turn data into intelligence
7.1 Machines defeating world champions
7.2 Lack of generalization
8 AI doesn’t threaten our jobs
8.1 Are simple human tasks easy to automate?
9 Technological singularity is absurd
9.1 The genesis of technological singularity
9.2 The truth about the evolution of robotics
9.3 Merging human with machine?
9.4 Science fiction vs. reality
10 Learning from successful and failed applications of AI
10.1 AI successes
10.2 AI misuse
10.3 AI failures
10.4 How to set your AI project up for success
10.4.1 Data: The lifeblood of AI
1 The rise of machine intelligence
1.1 What is artificial intelligence?
1.2 The AI revolution
1.3 Error-prone intelligence
1.4 Chatbots
1.5 Looking ahead
2 AI mastery: Essential techniques, Part 1
2.1 Expert systems
2.2 Business rules management system
2.3 Case-based reasoning
2.4 Fuzzy logic
2.5 Genetic algorithms
3 AI mastery: Essential techniques, Part 2
3.1 Data mining
3.2 Decision trees for fraud prevention
3.3 Artificial neural networks
3.4 Deep learning
3.4.1 The benefits of deep learning
3.4.2 Limitations of deep learning
3.5 Bayesian networks
3.6 Unsupervised learning
3.7 So, what is artificial intelligence?
,4 Smart agent technology
4.1 Principles of smart agents
4.1.1 Adaptability: The true mark of intelligence
4.1.2 Smart agent language
5 Generative AI and large language models
5.1 Generative artificial intelligence
5.2 Large language models
5.3 ChatGPT
5.3.1 How ChatGPT creates human-like text
5.3.2 ChatGPT hallucination
5.4 Bard
5.5 Humans vs. LLMs
5.6 AI does not understand
5.7 Benefits of LLMs
5.8 LLM limits
5.9 Generative AI and intellectual property
5.10 Risks of generative AI
5.11 LLMs and the Illusion of Understanding
6 Human vs. machine
6.1 The human brain
6.1.1 Thoughts
6.1.2 Memory
6.1.3 The subconscious mind
6.1.4 Common sense
, 6.1.5 Curiosity
6.1.6 Imagination
6.1.7 Creativity
6.1.8 Intuition
6.1.9 Analogy
6.2 Human vision vs. computer vision
6.2.1 AI and COVID
6.2.2 Image reasoning
7 AI doesn’t turn data into intelligence
7.1 Machines defeating world champions
7.2 Lack of generalization
8 AI doesn’t threaten our jobs
8.1 Are simple human tasks easy to automate?
9 Technological singularity is absurd
9.1 The genesis of technological singularity
9.2 The truth about the evolution of robotics
9.3 Merging human with machine?
9.4 Science fiction vs. reality
10 Learning from successful and failed applications of AI
10.1 AI successes
10.2 AI misuse
10.3 AI failures
10.4 How to set your AI project up for success
10.4.1 Data: The lifeblood of AI
