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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

Introduction to generative AI

Generative AI refers to a class of AI technologies that is capable of generating various forms of content, including but not limited to text, images, audio, and video. These AI systems can generate new content, based on their training data and input parameters, which usually include text prompts but can also involve other forms of input such as images. The recent buzz around generative AI comes from the simplicity with which new user interfaces powered by this AI technology can create high-quality text, graphics, and videos in seconds.

In very simple terms, generative AI is about making new data that looks like the data from which it has been trained. In other words, learning the underlying patterns, structures, and distributions of input data enables a procedure within the model allowing it to generate new data in a similar way. For instance, if trained on a dataset of human faces, a generative AI model will be able to create completely new faces of...

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Building Agentic AI Systems
Published in: Apr 2025
Publisher: Packt
ISBN-13: 9781803238753
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