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Building Agentic AI Systems
Anjanava Biswas Wrick Talukdar Matthew R. Scott Dr. Alex Acero
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Building Agentic AI SystemsAnjanava Biswas Wrick Talukdar Matthew R. Scott Dr. Alex Acero
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
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
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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
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出版社packt
出版时间2025年4月
字数486,100
分类计算机-理论知识
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Building Agentic AI Systems
Anjanava Biswas Wrick Talukdar Matthew R. Scott Dr. Alex Acero
- 扉页
- 版权信息+书签
- Foreword
- Foreword 2
- Contributors
- About the authors
- About the reviewers
- Join our communities on Discord and Reddit
- Preface
- Who this book is for
- What this book covers
- To get the most out of this book
- Download the example code files
- Disclaimer on images
- Conventions used
- Get in touch
- Share Your Thoughts
- Download a free PDF copy of this book
- Part 1 Foundations of Generative AI and Agentic Systems
- Chapter 1 Fundamentals of Generative AI
- Introduction to generative AI
- Types of generative AI models
- Applications of generative AI
- Challenges and limitations of generative AI
- Summary
- Questions
- Answers
- Further reading
- References
- Subscribe to AI_Distilled, the go-to newsletter for AI professionals
- Chapter 2 Principles of Agentic Systems
- Technical requirements
- Understanding self-governance, agency, and autonomy
- Reviewing intelligent agents and their characteristics
- Exploring the architecture of agentic systems
- Understanding multi-agent systems
- Summary
- Questions
- Answers
- Subscribe to AI_Distilled, the go-to newsletter for AI professionals
- Chapter 3 Essential Components of Intelligent Agents
- Technical requirements
- Knowledge representation in intelligent agents
- Reasoning in intelligent agents
- Learning mechanisms for adaptive agents
- Decision-making and planning in agentic systems
- Enhancing agent capabilities with generative AI
- Summary
- Questions
- Answers
- Subscribe to AI_Distilled, the go-to newsletter for AI professionals
- Part 2 Designing and Implementing Generative AI-Based Agents
- Chapter 4 Reflection and Introspection in Agents
- Technical requirements
- The importance of reflection in agents
- Introspection in intelligent agents
- Implementing reflective capabilities
- Use cases and examples
- Summary
- Questions
- Answers
- Subscribe to AI_Distilled, the go-to newsletter for AI professionals
- Chapter 5 Enabling Tool Use and Planning in Agents
- Technical requirements
- Understanding the concept of tool use in agents
- Planning algorithms for agents
- Integrating tool use and planning
- Exploring practical implementations
- Summary
- Questions
- Answers
- Subscribe to AI_Distilled, the go-to newsletter for AI professionals
- Chapter 6 Exploring the Coordinator, Worker, and Delegator Approach
- Technical requirements
- Understanding the CWD model
- Designing agents with role assignments
- Communication and collaboration between agents
- Implementing the CWD approach in generative AI systems
- Summary
- Questions
- Answers
- Subscribe to AI_Distilled, the go-to newsletter for AI professionals
- Chapter 7 Effective Agentic System Design Techniques
- Technical requirements
- Focused system prompts and instructions for agents
- State spaces and environment modeling
- Agent memory architecture and context management
- Sequential and parallel processing in agentic workflows
- Summary
- Questions
- Answers
- Subscribe to AI_Distilled, the go-to newsletter for AI professionals
- Part 3 Trust, Safety, Ethics, and Applications
- Chapter 8 Building Trust in Generative AI Systems
- Technical requirements
- Importance of trust in AI
- Techniques for establishing trust
- Implementing transparency and explainability
- Handling uncertainty and biases
- Summary
- Questions
- Answers
- Subscribe to AI_Distilled, the go-to newsletter for AI professionals
- Chapter 9 Managing Safety and Ethical Considerations
- Understanding potential risks and challenges
- Ensuring safe and responsible AI
- Exploring ethical guidelines and frameworks
- Addressing privacy and security concerns
- Summary
- Questions
- Answers
- Subscribe to AI_Distilled, the go-to newsletter for AI professionals
- Chapter 10 Common Use Cases and Applications
- Creative and artistic applications
- Natural language processing and conversational agents
- Robotics and autonomous systems
- Decision support and optimization
- Summary
- Questions
- Answers
- Subscribe to AI_Distilled, the go-to newsletter for AI professionals
- Chapter Conclusion and Future Outlook
- Recap of key concepts
- Emerging trends and research directions
- Artificial general intelligence
- Challenges and opportunities
- Summary
- Subscribe to AI_Distilled, the go-to newsletter for AI professionals
- Index
- Why subscribe?
- Other Books You May Enjoy
- Packt is searching for authors like you
- Share Your Thoughts
- Join our community on Discord
- Subscribe to AI_Distilled, the go-to newsletter for AI professionals
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