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This book teaches production-grade LLM engineering through one continuous end-to-end project: building an LLM Twin, an AI system that learns to reproduce your writing style. Starting from raw personal writing data and ending with a scalable deployed application, every chapter builds on the components developed in previous chapters. You will design system architecture, construct data pipelines, implement retrieval augmented generation, fine-tune open-source models with LoRA and QLoRA, optimize inference, and deploy with full MLOps observability. Each technique is explained at the mechanism level with complete runnable code, realistic configurations, and clear discussion of trade-offs and production challenges.

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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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