{"product_id":"generative-ai-systems-chong-lip-phang-9798182112765","title":"Generative AI Systems: Building Generative AI Across Every Modality: from text and images to video, audio, code, 3D, science, and the systems and ethi","description":"\u003cp\u003e\u003cb\u003eGenerative AI Systems: The Complete Guide\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eBuilding Generative AI Across Every Modality\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003eBehind every generative AI system - the chatbots and image generators, the video, music, and voice models, the coding assistants and autonomous agents - lies the same small set of ideas. Learn them once, and the entire field falls into place.\u003c\/p\u003e\u003cp\u003eThis is the rare book that covers \u003ci\u003eall\u003c\/i\u003e of generative AI, not one corner of it: \u003cb\u003eeighty-three chapters across eighteen parts\u003c\/b\u003e - from first principles to production systems, the industry that builds them, and the research frontier.\u003c\/p\u003e\u003cp\u003eIts foundation is a single unifying insight. Almost all generative AI runs on two engines - the \u003cb\u003eautoregressive transformer\u003c\/b\u003e and the \u003cb\u003ediffusion model\u003c\/b\u003e - wrapped in one repeatable recipe: choose a representation, apply an engine, condition it for control, and evaluate against the right bar. Master that pattern and every new model, however novel it looks, becomes a variation on a theme you already understand - an approach built to outlast the tools and product names that change every few months.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eInside, you'll build real understanding across the whole field: \u003c\/b\u003e Foundations - Text \u0026amp; Language (transformers, fine-tuning, prompting, RAG, agents) - Images, Video \u0026amp; 3D (diffusion, latent space, motion, meshes, CAD) - Audio \u0026amp; Music - Code - Data \u0026amp; Knowledge - Interactive \u0026amp; Games - Business, Science \u0026amp; MLOps - Ethics, Safety \u0026amp; the Future - Frameworks \u0026amp; Open Source (LangChain, LangGraph, the library stack) - The Generative AI Industry (companies, business models, technologies) - Training at Scale (the cloud and Kubernetes) - a step-by-step Pseudocode Compendium for every branch - and Frontier Research (mixture-of-experts, reasoning models, flow matching, agents, open problems).\u003c\/p\u003e\u003cp\u003eEvery chapter is richly illustrated with diagrams, tables, and worked examples, building into one coherent, continuously numbered progression.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWritten for\u003c\/b\u003e developers, engineers, founders, and ML practitioners who want to \u003ci\u003ebuild\u003c\/i\u003e generative AI - not just use it. Whether you're shipping your first model or architecting systems at scale, you'll gain both the durable mental models and the engineering discipline to do it well.\u003c\/p\u003e\u003cp\u003eThe models will keep changing. These principles won't. \u003cb\u003eStart building.\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Chong Lip Phang\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798182112765\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\/18\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 246\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 0.61d","brand":"Chong Lip Phang","offers":[{"title":"Paperback","offer_id":49084235514111,"sku":"9798182112765","price":14.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/generative-ai-systems-chong-lip-phang-9798182112765","provider":"WR Book House","version":"1.0","type":"link"}