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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik Building Agentic AI Systems
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Beschreibung
This book is a comprehensive, hands-on guide designed for engineers, developers, and AI enthusiasts eager to understand and build intelligent agents capable of autonomous decision-making. The book starts with concepts of foundation of agentic AI and explores the role of attention mechanisms and transformer architectures, key innovations that enable agents to reason contextually and perform complex… tasks. Next, you will learn Large Language Models (LLMs) and Specialised Language Models (SLMs), learning how to harness them through prompt engineering, fine-tuning, and hands-on API integrations using Hugging Face and OpenAI. From theory to practice, readers will learn to build AI agents from scratch using .NET and Python, evolving from single-agent architectures to collaborative multi-agent systems. The book covers Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, enterprise guardrails, and production-ready orchestration. Readers will master agent evaluation principles, including offline benchmarking, online production evaluations, automated quality and safety assessments, performance metrics, and continuous monitoring techniques to build trustworthy, scalable, enterprise-grade AI systems. By the end, the reader will understand the skills to not only create functional AI agents but to understand their potential, limitations, and ethical considerations. Whether you're exploring agent design or deploying at scale, this book is your roadmap to the future of AI autonomy. What you will learn: ● Understand the core concepts, history, and distinctions of Agentic AI compared to generative and autonomous systems. ● How to build intelligent agents using LLMs, prompt engineering, and tools like LangChain and Hugging Face. ● How to build single- and multi-agent systems with memory, tool use, communication, and dynamic decision-making. ● Master AI evaluation with offline and online testing, safety and quality assessments, performance metrics, observability, and monitoring. ● Implement MCP, Agent-to-Agent (A2A) communication, enterprise guardrails, and secure tool orchestration to build production-ready AI agents. Who this book is for: This book is for AI/ML engineers wanting to move into autonomous systems, data scientists exploring advanced LLM applications and users who want to start building complex agents. Dieses Produkt haben wir gerade leider nicht auf Lager.
Handgeprüfte Gebrauchtware
Bis zu 50 % günstiger als neu
Der Umwelt zuliebe
Technische Daten
Erscheinungsdatum
11.02.2027
Sprache
Englisch
EAN
9798868833496
Herausgeber
APRESS
Sonderedition
Nein
Autor
Abhishek Raj Permani, Jithin Jude Paul
Einbandart
Broschiert
Buch Untertitel
A Hands-On Guide for Building Self-Directed, Single and Multi-Agent Solutions
Schlagwörter
Agentic AI, Large Language Models, LangChain, Hugging Face, LangGraph, Prompt Engineering, Generative AI Agents
Thema-Inhalt
UYQ - Künstliche Intelligenz
UYQM - Maschinelles Lernen
UMX - Programmier- und Skriptsprachen, allgemein
Höhe
254 mm
Breite
17.8 cm
Transparenz & Sicherheit
Hersteller: Springer Nature Customer Service Center GmbH, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com
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