{"product_id":"build-a-deepseek-model-from-scratch-design-train-and-scale-high-performance-llms-with-moe-long-context-and-efficient-attention-9798278967132","title":"Build a DeepSeek Model from Scratch: Design, Train, and Scale High-Performance LLMs with MoE, Long Context, and Efficient Attention","description":"\u003cp\u003e • Author(s): Clinton S. Dunavant\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Natural Language Processing\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eBuild a DeepSeek Model from Scratch\u003c\/b\u003e addresses a hard truth many AI engineers face today: most resources explain \u003ci\u003ewhat\u003c\/i\u003e large language models are, but very few show \u003ci\u003ehow\u003c\/i\u003e to actually build one that scales, stays stable, and performs competitively under real-world constraints. If you've tried to move beyond toy models-only to hit walls around memory limits, training instability, slow attention, or runaway costs-this book is written for you.\u003c\/p\u003e\u003cp\u003eThis book delivers a complete, production-minded blueprint for designing and training DeepSeek-class large language models from the ground up. It walks through the full lifecycle of modern LLM engineering: defining an efficient decoder-only architecture, integrating Mixture of Experts for scale, enabling long-context reasoning with efficient attention, and deploying models that can be served reliably and cost-effectively. Every design choice is explained from an engineering perspective, grounded in practices that work at billion-parameter scale.\u003c\/p\u003e\u003cp\u003eYou'll learn how to move from architectural intent to operational reality-without hand-waving, fragile shortcuts, or purely academic abstractions.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eBy the end of this book, you'll be able to: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eDesign a DeepSeek-style LLM architecture optimized for throughput, memory, and cost\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eImplement and scale Mixture of Experts layers without load collapse or routing instability\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eTrain long-context models using efficient attention and KV cache strategies\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eBuild streaming data pipelines that scale cleanly and remain reproducible\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eStabilize billion-parameter training with the right optimizers, precision, and recovery workflows\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eEvaluate reasoning, language, and code performance without benchmark overfitting\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eDeploy and serve large models using quantization and modern inference patterns\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWritten for AI engineers, ML researchers, and systems builders, this book emphasizes practical execution over theory and replaces guesswork with tested engineering patterns. It assumes you want to \u003ci\u003ebuild\u003c\/i\u003e, not just experiment-and that reliability, performance, and scalability matter as much as raw capability.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":46860990709911,"sku":"9798278967132","price":1694.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798278967132.webp?v=1769960312","url":"https:\/\/atlanticbooks.com\/products\/build-a-deepseek-model-from-scratch-design-train-and-scale-high-performance-llms-with-moe-long-context-and-efficient-attention-9798278967132","provider":"Atlantic Books","version":"1.0","type":"link"}