
Large Language Models: A Practical Guide to How They Work, What They Can Do, and How to Use Them Safely
Thomas Radcliffe
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Opening Credits
1/14/2026
Chapter 1: Why Teaching Language to Machines Was So Hard
1/14/2026
Chapter 2: From Text to Tokens How Modern Language Models See the World
1/14/2026
Chapter 3: Inside the Black Box How a Model Writes the Next Word
1/14/2026
Chapter 4: Surprising Skills Where Capabilities Really Come From
1/14/2026
Chapter 5: Hallucinations Bias and Brittleness Knowing the Limits
1/14/2026
Chapter 6: From Curiosity to Craft Real Workflows with Language Models
1/14/2026
Chapter 7: Talking to Machines Prompting for Better Results
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Chapter 8: Testing the Machine How to Evaluate and Debug Model Behavior
1/14/2026
Chapter 9: Guardrails Privacy Safety and Ethical Use
1/14/2026
Chapter 10: Riding the Wave Adapting to the Near Future of Language AI
1/14/2026
Closing Credits
1/14/2026