Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems封面

《Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems》PDF下载

Antonio Gullí

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8 分
440 页
19.01 MB
转换版PDF
出版社
Springer Nature
出版日期
2025年1月
ISBN
9783032014016
语言
english

书籍信息

书名
Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems
作者
Antonio Gullí
出版社
Springer Nature
出版日期
2025年1月
ISBN
9783032014016
页数
440 页
语言
english
文件格式
PDF
文件大小
19.01 MB
文件标签
转换版PDF

内容简介

This book is a practical resource designed to help developers master the art of building sophisticated AI agents. As artificial intelligence evolves from simple reactive programs to autonomous entities capable of understanding context and making complex decisions, this book provides the essential Design Patterns and proven techniques needed to construct intelligent systems effectively. Each of the 21 Design Patterns represents a fundamental building block for creating agents that can perceive their environment, make informed decisions, and execute actions autonomously.

中文版见《智能体设计模式:智能系统构建实战指南

Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems is structured as a comprehensive hands-on guide, with each chapter dedicated to a single agentic pattern. Within each chapter, you will find a detailed pattern overview, practical applications and use cases, one or more hands-on code example, and key takeaways for quick review. From foundational concepts such as Prompt Chaining and Tool Use to advanced topics like Multi-Agent Collaboration and Self-Correction, readers will gain practical knowledge they can immediately apply. While the chapters build on each other, you can also use the book as a handy reference, jumping to patterns that address your specific challenges.

To provide a tangible "canvas" for the code examples, this guide utilizes three prominent agent development frameworks: LangChain and its extension LangGraph, which offer a flexible way to build complex operational sequences; Crew AI, which provides a structured framework for orchestrating multiple agents; and the Google Agent Developer Kit (Google ADK), which offers tools for building, evaluating, and deploying agents. By showcasing examples across these tools, you will gain a broad understanding of how these patterns can be applied in any technical environment.

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