
Language Models Explained: A Friendly Guide to How AI Understands, Writes, and Reasons With Human Language
James Ellwood
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Opening Credits
1/13/2026
Chapter 1: Why Teaching Language to Machines Is So Hard
1/13/2026
Chapter 2: From Rules and Keywords to Learning Patterns
1/13/2026
Chapter 3: Tokens, Text, and the Raw Ingredients of Language Models
1/13/2026
Chapter 4: Inside the Pattern Machine How Models Learn Without Understanding
1/13/2026
Chapter 5: From Prompt to Paragraph How a Language Model Writes
1/13/2026
Chapter 6: What Language Models Can Do Writing, Coding, Translating, and Beyond
1/13/2026
Chapter 7: Illusions and Fragilities Hallucinations, Bias, and Other Limits
1/13/2026
Chapter 8: Working Alongside AI Practical Uses for Study, Work, and Creativity
1/13/2026
Chapter 9: Reading AI Critically How to Judge and Challenge Machine Answers
1/13/2026
Chapter 10: The Road Ahead Adapting to a World of Language Capable Machines
1/13/2026
Closing Credits
1/13/2026