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SKU/Artículo: AMZ-B0FZBTH9Z2

MASTERING LLMS & PROMPT ENGINEERING: DESIGN, BUILD, AND OPTIMIZE GENERATIVE AI WORKFLOWS WITH REAL-WORLD PROMPTS, RAG, AND AGENTIC SYSTEMS

Format:

Kindle

Hardcover

Kindle

Paperback

Detalles del producto

Disponibilidad:
Fuera de stock

Peso con empaque:
0.94 kg

Devolución:
No

Condición
Nuevo

Producto de:
Amazon

Viaja desde
USA

Sobre este producto

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. 🔧 Inside You’ll Learn:How LLMs actually work—and how to leverage their hidden mechanisms for precision controlThe complete science of prompt design, including zero-shot, few-shot, and self-refining methodsStep-by-step architectures for LLM pipelines, context management, and token optimizationHow to build and deploy powerful RAG systems that turn unstructured data into intelligent contextReal-world examples of autonomous agent workflows using LangGraph and PythonProven methods for testing, debugging, and optimizing AI applications for scale and reliabilitySecurity and compliance techniques for responsible AI deployment in enterprise environments 🧠 Why This Book MattersAs LLMs evolve into autonomous reasoning engines, the demand for professionals who can design, control, and optimize them is exploding. Mastering LLMs & Prompt Engineering gives you the technical edge to lead that transformation. Whether you’re architecting AI infrastructure, building intelligent assistants, or integrating generative models into products, this is your complete guide to doing it right—safely, efficiently, and at scale. ⚙️ Who This Book Is ForAI engineers and machine learning practitionersSoftware developers and solution architectsTechnical leaders integrating AI into enterprise workflowsAnyone serious about mastering the next generation of AI systems 🏗️ Build. Design. Optimize. Lead.Become the kind of AI professional every organization needs—the one who doesn’t just prompt the model but architects its intelligence.Master the frameworks. Command the prompts. Engineer the future.

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