فهرست مطالب

• Building Agentic AI Systems
• Foreword
• Foreword 2
• Contributors
• About the authors
• About the reviewers
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• Preface
• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• Chapter 11: Conclusion and Future Outlook
• Recap of key concepts
• Emerging trends and research directions
• Artificial general intelligence
• Challenges and opportunities
• Summary
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• Index
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