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Building Agentic AI Systems

You're reading from   Building Agentic AI Systems Create intelligent, autonomous AI agents that can reason, plan, and adapt

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Product type Paperback
Published in Apr 2025
Publisher Packt
ISBN-13 9781803238753
Length 288 pages
Edition 1st Edition
Concepts
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Authors (2):
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Wrick Talukdar Wrick Talukdar
Author Profile Icon Wrick Talukdar
Wrick Talukdar
Anjanava Biswas Anjanava Biswas
Author Profile Icon Anjanava Biswas
Anjanava Biswas
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Foundations of Generative AI and Agentic Systems
2. Chapter 1: Fundamentals of Generative AI FREE CHAPTER 3. Chapter 2: Principles of Agentic Systems 4. Chapter 3: Essential Components of Intelligent Agents 5. Part 2: Designing and Implementing Generative AI-Based Agents
6. Chapter 4: Reflection and Introspection in Agents 7. Chapter 5: Enabling Tool Use and Planning in Agents 8. Chapter 6: Exploring the Coordinator, Worker, and Delegator Approach 9. Chapter 7: Effective Agentic System Design Techniques 10. Part 3: Trust, Safety, Ethics, and Applications
11. Chapter 8: Building Trust in Generative AI Systems 12. Chapter 9: Managing Safety and Ethical Considerations 13. Chapter 10: Common Use Cases and Applications 14. Chapter 11: Conclusion and Future Outlook 15. Index 16. Other Books You May Enjoy

Integrating tool use and planning

Most of the earlier work in AI planning and tool usage was done in isolation, focusing on either planning algorithms or tool capabilities separately. However, to achieve truly intelligent agents, there is a need to integrate tool use with planning effectively. As we already saw in the previous section, our travel planner gave us a detailed travel plan but none of the details were factual – that is, it contained information that the LLM simply made up. In order to infuse our system with actual flight, hotel, and activity data so that the travel plan is grounded in facts, we will need to utilize tools along with the planning algorithm. This section will discuss how to combine these two aspects to generate relevant responses and complete tasks accurately.

Reasoning about tools

Agents need the ability to reason about the available tools at their disposal, understanding the functionality, capabilities, and limitations of each tool, as well...

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