{"product_id":"mastering-llm-fine-tuning-a-practical-guide-to-peft-alignment-and-specialized-model-optimization-9798245595344","title":"Mastering LLM Fine-Tuning: A Practical Guide to PEFT, Alignment, and Specialized Model Optimization","description":"\u003cp\u003e • Author(s): Ethan Cade\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Neural Networks\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMastering LLM Fine-Tuning: A Practical Guide to PEFT, Alignment, and Specialized Model Optimization\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eStop building generic AI and start engineering specialized intelligence.\u003c\/b\u003e\u003cbr\u003eThe transition from a basic pre-trained model to a production-grade, domain-specific asset is the most critical hurdle in Generative AI. Whether you are a machine learning engineer, a technical architect, or a data scientist, the ability to fine-tune Large Language Models (LLMs) effectively is what separates a prototype from a profitable application.\u003cbr\u003e\u003cb\u003eMastering LLM Fine-Tuning\u003c\/b\u003e is your hands-on roadmap to the cutting edge of AI specialization. This book strips away the academic jargon to deliver a direct, exhaustive guide to the tools and techniques used by industry leaders in 2026. From the mathematical efficiency of \u003cb\u003ePEFT (LoRA, QLoRA)\u003c\/b\u003e to the strategic precision of \u003cb\u003eDPO and Federated Learning\u003c\/b\u003e, you will learn how to squeeze maximum performance out of any model on any budget.\u003cbr\u003e\u003cb\u003eWhat You Will Master: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eParameter-Efficient Fine-Tuning (PEFT): \u003c\/b\u003e Dive deep into LoRA, QLoRA, and Adapter-based methods to specialize 70B+ models on consumer hardware.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAlignment \u0026amp; Human Feedback: \u003c\/b\u003e Master Direct Preference Optimization (DPO) and RLHF to ensure your models are safe, grounded, and helpful.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eProduction Serving \u0026amp; Monitoring: \u003c\/b\u003e Deploy high-throughput APIs using vLLM, TGI, and Ollama while implementing real-time hallucination detection.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eNext-Gen Architectures: \u003c\/b\u003e Explore On-Device fine-tuning and Continuous Learning pipelines to move beyond static checkpoints.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEthical Automation: \u003c\/b\u003e Engineer automated guardrails for bias detection, data sanitization, and PII redaction in autonomous tuning systems.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWhy This Book?\u003c\/b\u003e\u003cbr\u003eWhile other guides focus on surface-level API calls, this book provides the \"why\" behind the \"how.\" You will find real-world hardware selection matrices (Budget vs. Performance), comprehensive hyperparameter cheat sheets, and CI\/CD workflows specifically designed for LLM lifecycles.\u003cbr\u003e\u003cb\u003eMastering LLM Fine-Tuning\u003c\/b\u003e isn't just a manual-it is your unfair advantage in the AI era. Whether you are deploying on a local workstation or a massive H100 cluster, the frameworks and blueprints inside will help you build smarter, faster, and more reliable AI.\u003cbr\u003e\u003cb\u003eJoin the elite rank of engineers who don't just use AI-they specialize it. Scroll up and secure your copy today.\u003c\/b\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47571125502103,"sku":"9798245595344","price":2666.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798245595344.webp?v=1774886216","url":"https:\/\/atlanticbooks.com\/products\/mastering-llm-fine-tuning-a-practical-guide-to-peft-alignment-and-specialized-model-optimization-9798245595344","provider":"Atlantic Books","version":"1.0","type":"link"}