{"product_id":"local-ai-for-developers-harvey-chandler-9798198005006","title":"Local AI for Developers: Run Open-Source LLMs on Your Laptop with Ollama, llama.cpp, Quantization, and Practical RAG Workflows","description":"\u003cb\u003eLocal AI for Developers: Run Open-Source LLMs on Your Laptop with Ollama, llama.cpp, Quantization, and Practical RAG Workflows\u003c\/b\u003e\u003cp\u003e\u003cb\u003eBuild private, fast, cost-controlled AI systems directly on your own machine.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eTired of sending every prompt, code snippet, and internal document to a remote API? Want to experiment with open-source LLMs without unpredictable usage bills, rate limits, or cloud dependency?\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLocal AI for Developers\u003c\/b\u003e gives you a practical path to running, optimizing, and building with local language models using Ollama, llama.cpp, GGUF models, quantization, embeddings, and Retrieval-Augmented Generation workflows. Instead of treating local AI as a toy demo, this book shows how to turn your laptop or workstation into a usable AI development environment.\u003c\/p\u003e\u003cp\u003eYou'll learn how to choose models that fit your hardware, run open-source LLMs locally, expose them through developer-friendly APIs, build private document assistants, create local embeddings, improve RAG quality, benchmark performance, and move from laptop prototypes toward repeatable local AI workflows. The manuscript covers Ollama, llama.cpp, quantization, model selection, RAG, reranking, benchmarking, and production-style local workflows.\u003c\/p\u003e\u003cp\u003eInside, you'll gain practical skills for: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSetting up a reliable local AI development stack\u003c\/li\u003e\n\u003cli\u003eRunning and managing models with Ollama\u003c\/li\u003e\n\u003cli\u003eUsing llama.cpp and GGUF models for deeper control\u003c\/li\u003e\n\u003cli\u003eChoosing quantization levels for speed and quality\u003c\/li\u003e\n\u003cli\u003eBuilding local APIs, assistants, embeddings, and RAG pipelines\u003c\/li\u003e\n\u003cli\u003eEvaluating latency, throughput, memory use, and response quality\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis book is for software developers, AI engineers, ML practitioners, technical founders, and builders who want private, offline-capable, open-source AI systems they can control.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eGet your copy today and start building local AI workflows that run on your hardware, protect your data, and fit real developer work.\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Harvey Chandler\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798198005006\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 05\/21\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 176\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.70lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.38d","brand":"Harvey Chandler","offers":[{"title":"Paperback","offer_id":48801551450367,"sku":"9798198005006","price":19.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/local-ai-for-developers-harvey-chandler-9798198005006","provider":"WR Book House","version":"1.0","type":"link"}