How AI Actually Works — From Headlines to Understanding
by FreeLibrary.ai
Every day brings new AI headlines — but what do they actually mean? This book bridges the gap between news and understanding. Written for non-technical readers who follow AI developments, it explains language models, transformers, reasoning, agents, benchmarks, and more — no math required, just clarity.
15 chapters
Chapters (15)
- 1.What Is a Language Model (and Why Should You Care)?
- 2.How AI Models Are Trained — Data, Compute, and Scale
- 3.Tokens, Context Windows, and Why They Matter
- 4.The Transformer Architecture (Without the Math)
- 5.How Chatbots Actually Generate Text
- 6.Reasoning Models — Chain of Thought and Beyond
- 7.Multimodal AI — Vision, Audio, and Code
- 8.RAG: How AI Searches and Retrieves Knowledge
- 9.Fine-Tuning vs Prompting — When and Why
- 10.AI Agents — From Chatbot to Autonomous Worker
- 11.Benchmarks Explained — MMLU, HumanEval, and What They Mean
- 12.Open Source vs Closed Source Models
- 13.The Cost of AI — Pricing, Tokens, and Inference
- 14.AI Safety, Alignment, and Why It's in Every Headline
- 15.What 'AGI' Actually Means (and Doesn't Mean)