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Table of Contents

40 explanations, organized like a book.

I

The Basics

Start here. The foundation of everything AI.

01What is AI?
02What is Machine Learning?
03What is a Neural Network?
04What are AI tokens?
05What is Generative AI?
II

How It Works

The mechanics underneath the magic.

01What are Transformers?
02What are Embeddings?
03How does AI training actually work?
04What are Foundation Models?
05What is Fine-Tuning?
06What is Transfer Learning?
07What is Reinforcement Learning?
08What is Federated Learning?
III

Language & Speech

How machines understand and generate human language.

01What is Natural Language Processing?
02What is ChatGPT?
03What is Prompt Engineering?
04What is RAG?
05How Does Speech Recognition Work?
06What is Text-to-Speech?
IV

Vision & Creation

When AI learns to see and create.

01What is Computer Vision?
02What is Multimodal AI?
03How does AI image generation work?
V

Code & Agents

AI that writes code and takes action.

01How Does AI Code Generation Work?
02What are AI Agents?
03What is MCP (Model Context Protocol)?
VI

Data & Training

The fuel that powers AI — and the clever ways to get more of it.

01What are Synthetic Datasets?
02How do Recommendation Algorithms Work?
VII

Safety & Ethics

The hard questions we need to answer.

01What is AI Alignment?
02What is AI Bias?
03What are AI Guardrails?
04What is AI Governance?
05Why do AI models hallucinate?
VIII

The Industry

The business and infrastructure of AI.

01What are AI Benchmarks?
02How do AI model versions work?
03What is Open Source AI?
04Why are GPUs so expensive?
05Why can't you run ChatGPT on your laptop?
IX

The Future

Where all of this is heading.

01What is AGI?

More chapters coming soon. This book is still being written.