{"product_id":"fine-tuning-llms-playbook-zane-korrin-9798279142361","title":"Fine-Tuning LLMs Playbook: A Step-by-Step Guide to Customizing Large Language Models for Real-World Applications","description":"What if your AI could truly understand \u003ci\u003eyour\u003c\/i\u003e world?\u003cp\u003eLarge Language Models are powerful-but out of the box, they're generic, unreliable, and often misaligned with real-world needs.\u003cbr\u003eThe difference between a flashy demo and a production-ready AI system isn't the model itself.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIt's how you fine-tune it.\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003eWhy Most Fine-Tuning Efforts Fail\u003cp\u003eHave you ever: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eFine-tuned a model that looked great in evaluation-but failed users in production?\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eWatched performance improve in one task while silently degrading in others?\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eSpent weeks training a model only to realize it doesn't align with your domain, tone, or safety needs?\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eWondered whether you should fine-tune, use RAG, or start over entirely?\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eYou're not alone-and this book was written for that exact moment of confusion.\u003c\/p\u003e\u003cbr\u003eWhat This Playbook Gives You\u003cp\u003e\u003cb\u003eFine-Tuning LLMs Playbook\u003c\/b\u003e is a step-by-step, practitioner-focused guide to transforming pretrained models into \u003cb\u003ereliable, domain-aware, production-grade AI systems\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003eInside, you'll learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eChoose the \u003ci\u003eright\u003c\/i\u003e base model-open-source or proprietary-without costly guesswork\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eDesign high-quality datasets that actually improve real-world performance\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eApply modern fine-tuning methods like \u003cb\u003eLoRA, Adapters, PEFT, and Instruction Tuning\u003c\/b\u003e\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eOptimize training with practical hyperparameter and infrastructure strategies\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eEvaluate outputs beyond metrics-focusing on meaning, safety, and trust\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eDeploy, monitor, and continuously improve models in live environments\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003eBuilt for the Real World-Not Just Research Papers\u003cp\u003eThis book goes beyond theory and shows you: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eHow fine-tuning behaves in \u003cb\u003ehealthcare, finance, legal, education, and enterprise systems\u003c\/b\u003e\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHow to adapt models for \u003cb\u003emultilingual and low-resource languages\u003c\/b\u003e\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHow to reduce bias, mitigate toxicity, and align outputs with organizational policies\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHow to detect drift, prevent catastrophic forgetting, and plan retraining cycles\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eBecause real users don't care about benchmarks.\u003cbr\u003eThey care about results.\u003c\/p\u003e\u003cbr\u003eWho This Book Is For\u003cp\u003eThis playbook is written for: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eMachine learning engineers and AI developers\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eFounders and product teams building AI-powered products\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eResearchers moving from experimentation to deployment\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eAnyone serious about owning-not renting-their AI capabilities\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eIf you want more than prompts...\u003cbr\u003eIf you want more than demos...\u003cbr\u003eIf you want models that evolve with your data and your mission...\u003c\/p\u003e\u003cbr\u003eThis Is Not Just About Better Models\u003cp\u003eIt's about asking the right questions: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eWhen should you fine-tune-and when should you \u003ci\u003enot\u003c\/i\u003e?\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHow do you balance accuracy, cost, safety, and scalability?\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eWhat does responsible customization look like at scale?\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eAnd how do you build AI systems that remain useful months-or years-after deployment?\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003eThe future of AI isn't just bigger models.\u003cbr\u003eIt's \u003cb\u003emodels that are finally yours. \u003c\/b\u003e\u003cp\u003e\u003c\/p\u003eSCROLL UP AND CLICK \"ADD TO CRATE\"\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Zane Korrin\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798279142361\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 12\/20\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 126\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.51lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.27d","brand":"Zane Korrin","offers":[{"title":"Paperback","offer_id":48997327798527,"sku":"9798279142361","price":13.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/fine-tuning-llms-playbook-zane-korrin-9798279142361","provider":"WR Book House","version":"1.0","type":"link"}