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This book is a hands-on guide designed to help readers understand, build, and deploy powerful AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems, and intelligent chatbots.\nStarting with the fundamentals\u2014LLM architecture, tokenization, APIs, and fine-tuning\u2014the book gradually builds toward complex, integrated systems. Readers will learn to implement RAG pipelines using vector databases like FAISS and Pinecone, develop autonomous AI agents that complete multi-step tasks, and create real-world chatbots that understand and adapt to user needs. The approach is project-driven: each chapter includes visual explanations, step-by-step code walkthroughs, and deployment-ready examples. From building a personal assistant that searches your notes to\n\nMastering Large Language Models\nArchitectures, Applications, and Real-World Deployments of Large Language Models\nFree UK delivery on this item.\n\nThis brand new item is available wit;
This book is a hands-on guide designed to help readers understand, build, and deploy powerful AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems, and intelligent chatbots.\nStarting with the fundamentals\u2014LLM architecture, tokenization, APIs, and fine-tuning\u2014the book gradually builds toward complex, integrated systems. Readers will learn to implement RAG pipelines using vector databases like FAISS and Pinecone, develop autonomous AI agents that complete multi-step tasks, and create real-world chatbots that understand and adapt to user needs. The approach is project-driven: each chapter includes visual explanations, step-by-step code walkthroughs, and deployment-ready examples. From building a personal assistant that searches your notes to\n\nMastering Large Language Models\nArchitectures, Applications, and Real-World Deployments of Large Language Models\nFree UK delivery on this item.\n\nThis brand new item is available wit;
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