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Learn to master the creation of AI agents utilizing large language models with the coordinator, worker, and delegator framework for managing intricate AI systems.
Key Features
- Comprehend the essential and advanced methodologies for constructing intelligent, self-sufficient AI agents
- Discover sophisticated strategies for reflection, introspection, tool usage, planning, and teamwork within agentic systems
- Investigate vital components of trust, safety, and ethics in the development and deployment of AI agents
The purchase of the print or Kindle edition includes a free PDF eBook.
Book Description
Acquire exceptional insights into the future of AI autonomy with this all-inclusive guide focused on designing and rolling out autonomous AI agents that employ generative AI (GenAI) to plan, reason, and act. Penned by leading AI architects and acknowledged experts who are defining global AI standards and crafting practical enterprise AI solutions, it delves into the basics of agentic systems, illustrating how AI agents function independently, make decisions, and utilize tools to fulfill complex goals.
Beginning with the fundamentals of GenAI and agentic structures, you will investigate decision-making models, self-improvement strategies, and adaptability. The book discusses advanced design methods, including multi-step planning, tool integration, and the coordinator, worker, and delegator model for scalable AI agents.
In addition to design, it covers crucial elements of trust, safety, and ethics, ensuring AI systems align with human values and function transparently. Real-world examples demonstrate how agentic AI revolutionizes fields like automation, finance, and healthcare. Providing profound insights into AI frameworks, prompt engineering, and multi-agent synergy, this book prepares you to create next-generation adaptive, scalable AI agents that transcend mere task execution and operate with minimal human oversight.
What you will learn
- Grasp the fundamental principles of GenAI and agentic systems
- Understand how AI agents function, reason, and adapt in ever-changing environments
- Empower AI agents to assess their own actions and improvise
- Implement systems where AI agents can utilize external tools and plan intricate tasks
- Apply techniques to improve transparency, accountability, and reliability in AI
- Examine real-world applications of AI agents across various industries
Who this book is for
This book is tailored for AI developers, machine learning engineers, and software architects aiming to enhance their expertise in developing intelligent, autonomous agents. It suits professionals with a solid grounding in machine learning and programming, especially those proficient in Python and large language models. While some familiarity with generative AI is advantageous, the book sufficiently addresses foundational concepts for newcomers 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
From the brand
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Packt is a premier publisher of technical learning content, enabling rapid publication of books on emerging technologies. Our mission is to enhance the shared value of deep tech knowledge by empowering tech professionals to leverage software effectively. We support innovative thinkers and pioneering creators in distilling and sharing the expertise of their peers.
Publisher : Packt Publishing
Publication date : April 21, 2025
Language : English
Print length : 288 pages
ISBN-10 : 1803238755
ISBN-13 : 978-1803238753
Item Weight : 1.1 pounds
Dimensions : 7.5 x 0.65 x 9.25 inches
Best Sellers Rank: #15,197 in Books (See Top 100 in Books) #2 in Speech & Audio Processing #10 in Natural Language Processing (Books) #31 in Artificial Intelligence & Semantics
Customer Reviews: 4.3 4.3 out of 5 stars 33 ratings
