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Large language models have transformed how we interact with machines, but their inner workings remain opaque to most. This book opens the black box, walking you through every stage of an LLM's life: from the raw text scraped off the internet, through tokenization and embeddings, into the transformer architecture where self-attention mechanisms weave meaning from patterns, across the grueling training process shaped by gradient descent, and finally through inference when each word is generated one step at a time. No exercises, no application checklists, no hand-waving about \"artificial intelligence.\" Just a clear, technically precise account of what these models actually are, how they work, what they have learned, and what remains genuinely mysterious about them.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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