Fine-Tuning AI: Customizing Large Language Models

The era of generic, one-size-fits-all AI is ending. While foundational models like GPT, Claude, and Gemini excel at general knowledge, the next wave of innovation belongs to fine-tuned, domain-expert models that know your business, your code, and your data. This book is a practical guide to moving from the fragility of prompt engineering to the robustness, security, and control of model ownership. Written by award-winning researcher and bestselling author Laurence Moroney, Fine-Tuning AI walks you through the complete process of taking data and using it to train expert models that you own and run locally and privately on your laptop, phone, or data center. Aimed at Python-proficient developers and data owners who have hit the limits of APIs, high per-token costs, latency, or privacy concerns, the book provides a clear blueprint for building efficient, cost-effective systems that can outperform generalist models on specialized tasks. - Understand the value of data and prepare it for fine-tuning - Build workflows for fine-tuning language models - Apply advanced adaptation techniques such as PEFT and LoRA - Move beyond text with multimodal image understanding and generation - Optimize, quantize, and serve private expert models in production