{"product_id":"large-language-models-in-practice-michael-harris-9798182463218","title":"Large Language Models in Practice: How LLMs Work, How to Use Them, and How to Build Production-Ready AI Systems","description":"Most developers learn what LLMs can do. This book teaches you how\u003cbr\u003eto actually build with them. \u003cp\u003e\u003c\/p\u003eLarge Language Models in Practice is a hands-on engineering guide\u003cbr\u003efor developers who want to go beyond ChatGPT prompts and build\u003cbr\u003ereal, production-ready AI systems from scratch, with working code. \u003cp\u003e\u003c\/p\u003eYou'll start with the fundamentals transformers, tokenization, \u003cbr\u003eembeddings, attention and progressively move into the engineering\u003cbr\u003epatterns that power real-world AI products. Every concept is paired\u003cbr\u003ewith Python code you can run, modify, and ship. \u003cp\u003e\u003c\/p\u003eWhat's inside: \u003cp\u003e\u003c\/p\u003e- How LLMs actually work under the hood transformers, \u003cbr\u003e self-attention, positional encoding, and next-token prediction\u003cbr\u003e- Working with LLM APIs authentication, context windows, \u003cbr\u003e streaming, cost management, and rate limits \u003cbr\u003e- Prompt engineering that works zero-shot, few-shot, \u003cbr\u003e chain-of-thought, role-based prompting, and reusable templates\u003cbr\u003e- Building real AI apps chatbots, summarizers, content\u003cbr\u003e generators, and information extraction systems\u003cbr\u003e- Retrieval-Augmented Generation (RAG) vector databases, \u003cbr\u003e embeddings, document chunking, and full RAG pipelines\u003cbr\u003e- Fine-tuning open-source models for your specific use case\u003cbr\u003e- AI agents how to design, build, and orchestrate them\u003cbr\u003e- Production deployment scaling, monitoring, evaluation, \u003cbr\u003e and enterprise-grade architecture \u003cp\u003e\u003c\/p\u003e10 hands-on projects including a PDF Q\u0026amp;A system, AI customer\u003cbr\u003esupport chatbot, personal research assistant, and a deployable\u003cbr\u003eenterprise AI assistant. \u003cp\u003e\u003c\/p\u003eThis is not a theory textbook. This is the book you hand to\u003cbr\u003ea developer and say: build something real with it. \u003cp\u003e\u003c\/p\u003ePerfect for: software engineers, backend developers, technical\u003cbr\u003efounders, CS students, and self-taught developers who want to\u003cbr\u003ebuild serious AI systems no ML PhD required.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Michael Harris\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798182463218\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 06\/20\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 224\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.67lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.47d","brand":"Michael Harris","offers":[{"title":"Paperback","offer_id":49173859500287,"sku":"9798182463218","price":25.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/large-language-models-in-practice-michael-harris-9798182463218","provider":"WR Book House","version":"1.0","type":"link"}