{"product_id":"mastery-of-generative-ai-volume-i-the-conceptual-core-from-transformers-to-production-a-complete-technical-reference-for-llm-engineers-9798195226763","title":"Mastery of Generative AI, Volume I: The Conceptual Core - From Transformers to Production, A Complete Technical Reference for LLM Engineers","description":"\u003cp\u003e • Author(s): B. Torkian\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Certification Guides - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eVolume I of Mastery of Generative AI develops the conceptual foundations of large language models.\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eFrom the mathematics of attention through the architectures, scaling laws, fine-tuning, alignment, and efficiency techniques that produced the systems we now call generative AI. For working engineers, ML researchers, and technical leaders who want one coherent reference for the conceptual core. \u003cp\u003e\u003c\/p\u003eInside Volume I (Chapters 1-9): \u003cbr\u003e- The history of AI: from rule-based systems to deep learning\u003cbr\u003e- Statistical learning, neural networks, and backpropagation\u003cbr\u003e- Transformers from first principles - attention, normalization, positional encoding\u003cbr\u003e- Multimodal models: vision-language, audio, and unified embeddings\u003cbr\u003e- Scaling laws and the Chinchilla bargain\u003cbr\u003e- Fine-tuning and parameter-efficient adaptation (LoRA, adapters)\u003cbr\u003e- Alignment: SFT, RLHF, DPO, constitutional AI\u003cbr\u003e- The drive to efficiency: quantization, distillation, pruning \u003cp\u003e\u003c\/p\u003e\u003cb\u003eAligned with the NVIDIA-Certified Professional: Generative AI LLMs and NVIDIA-Certified Professional: Agentic AI exams. While this book is not an official NVIDIA publication, it covers the public technical foundations these certifications assess.\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e9 chapters, plus Mathematical Foundations (Appendix A), Bibliography (Appendix D), Glossary (Appendix E), and Volume I Index (Appendix F). \u003cp\u003e\u003c\/p\u003eVolume II - The Practitioner's Depth - covers distributed training, inference optimization, RAG, deployment, evaluation, and edge computing (Chapters 10-21).","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47968790315159,"sku":"9798195226763","price":2535.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798195226763.webp?v=1782919405","url":"https:\/\/atlanticbooks.com\/products\/mastery-of-generative-ai-volume-i-the-conceptual-core-from-transformers-to-production-a-complete-technical-reference-for-llm-engineers-9798195226763","provider":"Atlantic Books","version":"1.0","type":"link"}