Overview

The future of AI doesn't belong to those who merely use ChatGPT-it belongs to those who understand, design, and engineer its intelligence. In this groundbreaking guide, Robertto Tech, a senior AI systems engineer with over a decade of hands-on experience, reveals how to architect, optimize, and scale Large Language Model (LLM) systems for production environments. Built for developers, data scientists, and applied AI innovators, this book goes beyond surface-level prompting to show you how real-world generative AI pipelines are designed and deployed-from foundational transformers to RAG (Retrieval-Augmented Generation) and agentic frameworks. You'll discover how to build robust systems that reason, retrieve, and respond with human-like intelligence. Every chapter combines technical precision with actionable insight-bridging deep theory, modern frameworks like LangChain, LangGraph, and vector databases, and enterprise-grade deployment strategies.

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