AI Builders and Learners SF

Want to discuss the contents during the reading week? Join the Slack Flyte MLOps Slack group and search for the "ai-reading-club" channel. https://slack.flyte.org/

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About the book:
Title: Building Agentic AI Systems
Authors: Anjanava Biswas, Wrick Talukdar
Published: April 2025

https://learning.oreilly.com/library/view/building-agentic-ai/9781803238753/

or on packt: https://www.packtpub.com/en-us/product/building-agentic-ai-systems-9781801079273

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

Book Description
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.

Learn more about the book here:
https://learning.oreilly.com/library/view/building-agentic-ai/9781803238753/

or on packt: https://www.packtpub.com/en-us/product/building-agentic-ai-systems-9781801079273

Want to discuss the contents during the reading week? Join the Slack Flyte MLOps Slack group and search for the "ai-reading-club" channel. https://slack.flyte.org/

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About the book:
Title: Effective Conversational AI
Authors: Eniko Rozsa, Andrew Freed, Cari Jacobs
Published: April 2025

https://learning.oreilly.com/library/view/effective-conversational-ai/9781633436404/

or on Manning: https://www.manning.com/books/effective-conversational-ai

Chapters:
Part 1 Framework for improving conversational AI
1 What makes conversational AI work?
2 Building a conversational AI
3 Planning for improvement
Part 2 Pattern: AI doesn’t understand
4 Understanding what your users really want
5 Improving weak understanding for traditional AI
6 Enhancing responses with retrieval-augmented generation
7 Augmenting intent data with generative AI
Part 3 Pattern: AI is too complex
8 Streamlining complex flows
9 Harnessing context for an adaptive virtual assistant experience
10 Reducing complexity with generative AI
Part 4 Pattern: Reduce friction
11 Reducing opt-outs
12 Conversational summarization for smooth handoff

Book Description
Create and improve conversational AI with the latest patterns, best practices, and tools, including generative AI models.

Conversational AI (CAI) tools are built to solve problems, but all-too-often they just end up causing pain for users–and developers! Effective Conversational AI reveals best practices and industry-tested techniques for creating chatbots and conversational AI tools that are reliable at an enterprise scale. With the tested ideas and examples in this book, you’ll learn to build chatbots that your customers and colleagues will actually want to use!

In Effective Conversational AI you’ll learn how to:

• Create high-quality chatbots and other conversational AI experiences
• Plan for continuous improvement
• Incorporate generative AI solutions to improve quality, accuracy, and usability
• Evaluate user experience and business results

Effective Conversational AI introduces continuous improvement practices that are vital for the constant betterment and evolution of chatbots and CAI tools. It introduces the three most-common forms of chatbot—Q&A, process-oriented, and routing agents—and presents a reliable framework for continuously improving each one. Using modern generative AI and tried-and-tested classic approaches, you’ll learn to deliver high performance chatbots that can guide a customer through complex end-to-end tasks—no human required!

https://learning.oreilly.com/library/view/effective-conversational-ai/9781633436404/

or on Manning: https://www.manning.com/books/effective-conversational-ai