Building Agentic AI Systems: Create intelligent, autonomous AI agents that can reason, plan, and adapt
暫譯: 構建自主智能AI系統:創建能夠推理、計劃和適應的智能自主AI代理
Biswas, Anjanava, Talukdar, Wrick, Scott, Matthew R.
- 出版商: Packt Publishing
- 出版日期: 2025-04-21
- 售價: $1,850
- 貴賓價: 9.5 折 $1,758
- 語言: 英文
- 頁數: 288
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1803238755
- ISBN-13: 9781803238753
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相關分類:
人工智慧
海外代購書籍(需單獨結帳)
相關主題
商品描述
Master the art of building AI agents with large language models using the coordinator, worker, and delegator approach for orchestrating complex AI systems
Key Features:
- Understand the foundations and advanced techniques of building intelligent, autonomous AI agents
- Learn advanced techniques for reflection, introspection, tool use, planning, and collaboration in agentic systems
- Explore crucial aspects of trust, safety, and ethics in AI agent development and applications
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description:
Gain unparalleled insights into the future of AI autonomy with this comprehensive guide to designing and deploying autonomous AI agents that leverage generative AI (GenAI) to plan, reason, and act. Written by industry-leading AI architects and recognized experts shaping global AI standards and building real-world enterprise AI solutions, it explores the fundamentals of agentic systems, detailing how AI agents operate independently, make decisions, and leverage tools to accomplish complex tasks.
Starting with the foundations of GenAI and agentic architectures, you'll explore decision-making frameworks, self-improvement mechanisms, and adaptability. The book covers advanced design techniques, such as multi-step planning, tool integration, and the coordinator, worker, and delegator approach for scalable AI agents.
Beyond design, it addresses critical aspects of trust, safety, and ethics, ensuring AI systems align with human values and operate transparently. Real-world applications illustrate how agentic AI transforms industries such as automation, finance, and healthcare. With deep insights into AI frameworks, prompt engineering, and multi-agent collaboration, this book equips you to build next-generation adaptive, scalable AI agents that go beyond simple task execution and act with minimal human intervention.
What You Will Learn:
- Master the core principles of GenAI and agentic systems
- Understand how AI agents operate, reason, and adapt in dynamic environments
- Enable AI agents to analyze their own actions and improvise
- Implement systems where AI agents can leverage external tools and plan complex tasks
- Apply methods to enhance transparency, accountability, and reliability in AI
- Explore real-world implementations of AI agents across industries
Who this book is for:
This book is ideal for AI developers, machine learning engineers, and software architects who want to advance their skills in building intelligent, autonomous agents. It's perfect for professionals with a strong foundation in machine learning and programming, particularly those familiar with Python and large language models. While prior experience with generative AI is beneficial, the book covers foundational concepts for those new to agentic systems.
Table of Contents
- Fundamentals of Generative AI
- Principles of Agentic Systems
- Essential Components of Intelligent Agents
- Reflection and Introspection in Agents
- Enabling Tool Use and Planning in Agents
- Exploring the Coordinator, Worker, and Delegator Approach
- Effective Agentic System Design Techniques
- Building Trust in Generative AI Systems
- Managing Safety and Ethical Considerations
- Common Use Cases and Applications
- Conclusion and Future Outlook
商品描述(中文翻譯)
掌握使用協調者、工作者和委派者方法來構建大型語言模型的 AI 代理的藝術,以協調複雜的 AI 系統
主要特點:
- 理解構建智能、自主 AI 代理的基礎和進階技術
- 學習在代理系統中進行反思、自省、工具使用、規劃和協作的進階技術
- 探索 AI 代理開發和應用中信任、安全和倫理的關鍵方面
- 購買印刷版或 Kindle 書籍可獲得免費 PDF 電子書
書籍描述:
通過這本全面的指南,獲得對 AI 自主性未來的無與倫比的見解,設計和部署利用生成式 AI (GenAI) 進行規劃、推理和行動的自主 AI 代理。這本書由行業領先的 AI 架構師和公認的專家撰寫,他們正在塑造全球 AI 標準並構建現實世界的企業 AI 解決方案,探討代理系統的基本原理,詳細說明 AI 代理如何獨立運作、做出決策並利用工具來完成複雜任務。
從 GenAI 和代理架構的基礎開始,您將探索決策框架、自我改進機制和適應性。這本書涵蓋了進階設計技術,例如多步規劃、工具整合,以及用於可擴展 AI 代理的協調者、工作者和委派者方法。
除了設計之外,它還涉及信任、安全和倫理的關鍵方面,確保 AI 系統與人類價值觀保持一致並透明運作。現實世界的應用展示了代理 AI 如何改變自動化、金融和醫療等行業。通過對 AI 框架、提示工程和多代理協作的深入見解,本書使您能夠構建超越簡單任務執行、並在最小人類干預下行動的下一代自適應、可擴展 AI 代理。
您將學到的內容:
- 掌握 GenAI 和代理系統的核心原則
- 理解 AI 代理如何在動態環境中運作、推理和適應
- 使 AI 代理能夠分析自己的行為並即興發揮
- 實施系統,使 AI 代理能夠利用外部工具並規劃複雜任務
- 應用方法以增強 AI 的透明度、問責性和可靠性
- 探索各行業中 AI 代理的現實實施
本書適合對象:
本書非常適合希望提升構建智能、自主代理技能的 AI 開發人員、機器學習工程師和軟體架構師。它非常適合具有堅實機器學習和程式設計基礎的專業人士,特別是那些熟悉 Python 和大型語言模型的人。雖然對生成式 AI 的先前經驗是有益的,但本書涵蓋了對於新手代理系統的基礎概念。
目錄:
- 生成式 AI 的基礎
- 代理系統的原則
- 智能代理的基本組件
- 代理中的反思和自省
- 使代理能夠使用工具和規劃
- 探索協調者、工作者和委派者方法
- 有效的代理系統設計技術
- 在生成式 AI 系統中建立信任
- 管理安全和倫理考量
- 常見用例和應用
- 結論與未來展望