
Making AI Simple
A layered guide to understanding AI systemsBy Jasper Living stoneLength4h 36m
About this audiobook
Making AI Simple: A Layered Guide to Understanding AI Systems
Artificial intelligence is transforming how we work, learn, create, and make decisions—but understanding AI doesn't have to be complicated.
Making AI Simple breaks down complex AI concepts into clear, practical lessons that anyone can understand. Whether you're a student, business professional, entrepreneur, manager, or simply curious about the future of technology, this book provides a step-by-step framework for understanding how modern AI systems really work.
Instead of overwhelming you with technical jargon, this guide builds your knowledge layer by layer. You'll learn the core principles behind machine learning, neural networks, large language models, generative AI, automation, and intelligent agents—explained with real-world examples and everyday analogies.
As your understanding grows, you'll discover how AI is changing industries, reshaping careers, and creating new opportunities. You'll also explore AI ethics, common misconceptions, and practical ways to use AI responsibly and effectively in daily life and business.Inside you'll discover:
• The fundamentals of artificial intelligence explained simply
• How machine learning and deep learning differ
• What powers ChatGPT, AI assistants, and generative AI
• Understanding AI models, data, and decision-making
• How AI is transforming business, healthcare, education, and finance
• AI myths, limitations, and ethical considerations
• Practical strategies for working with AI instead of competing against it
• A clear roadmap for continuing your AI learning journey
Whether you're just starting or want a stronger conceptual understanding, Making AI Simple gives you the confidence to navigate the AI era with clarity instead of confusion.
Learn smarter. Understand deeper. Use AI with confidence.
Audiobook details
GenreTechnology
Length4 hrs 36 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
LanguageEnglish
Table of contents
1Front Matter
2Introduction
3Chapter 1
4AI as a Human Body Overview
5Chapter 2
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6The Brain: Inputs and Prompts
7Chapter 3
8The Nervous System: Data Flow
9Chapter 4
10The Skeleton: Model Architecture Basics
11Chapter 5
12Muscles: Training and Learning
13Chapter 6
14Skin and Scars: Data Quality
15Chapter 7
16The Heartbeat: Loss Functions
17Chapter 8
18Breathing: Tokenization Explained
19Chapter 9
20The Senses: Embeddings Intuition
21Chapter 10
22The Brainstem: Attention Mechanism
23Chapter 11
24The Mind’s Voice: Generation Basics
25Chapter 12
26Temperature and Creativity Controls
27Chapter 13
28Stop Words and Guardrails
29Chapter 14
30Context Window: Memory Limits
31Chapter 15
32Prompting with the 5-Box Template
33Chapter 16
34Few-Shot Examples That Work
35Chapter 17
36Chain-of-Thought Without the Drama
37Chapter 18
38RAG: Retrieval Like a Library
39Chapter 19
40Fine-Tuning vs Prompting
41Chapter 20
42AI Output Checks and Safety Habits
43Final Thoughts