The AI Agent Builder (From First Principles to real World Autonomous System
The AI Agent Builder: From First Principles to Real-World Autonomous Systems is a comprehensive guide that introduces the concepts, architecture, development, and deployment of AI agents through a balanced combination of theoretical foundations and practical implementation. Intended for students, researchers, developers, and AI practitioners, the book explains agent architectures, large language models, memory systems, reasoning, planning, tool integration, multi-agent collaboration, safety, evaluation, deployment, and real-world applications.
Salient Features
- AI Agent Foundations: Explains the evolution of AI agents, agent architectures, environments, perception, reasoning, action, and large language models through a structured first-principles approach.
- Practical Agent Development: Covers memory systems, planning strategies, reasoning techniques, tool integration, autonomous execution, and multi-agent collaboration with exercises and project-based learning.
- Modern AI Technologies: Introduces APIs, function calling, external knowledge integration, vector databases, retrieval-augmented generation, and scalable deployment methods for intelligent autonomous systems.
- Safety and Evaluation: Explains performance benchmarking, reliability testing, hallucination detection, AI safety principles, prompt injection protection, guardrails, and responsible deployment practices.
- Real-World Applications: Demonstrates AI agent implementations for research assistance, customer support, data analysis, productivity, and other practical domains through representative application scenarios.
- Practice-Oriented Learning: Reinforces understanding through practical exercises, project ideas, short-answer questions, and multiple-choice questions that strengthen conceptual and implementation skills.
- Part I: Foundations of AI Agents
- 1- The Rise of AI Agents
- 2- Anatomy of an AI Agent
- 3- The AI Agent Environment
- Part II: Intelligence Behind AI Agents
- 4-Large Language Models as Agent Brains
- 5- Memory Systems for Agents
- 6- Planning and Reasoning
- Part III: Tools and Capabilities
- 7- Tools Use and Function Calling
- 8- Multi-Tools Agents
- 9- Autonomous Task Execution
- Part IV: Multi-Agent Systems
- 10- Collaborative AI Agents
- 11- Specialized Agents
- Part V: Testing, Safety, And Optimization
- 12- Evaluating AI Agents
- 13- Safety and Alignment
- Part VI: Development and Real-World Applications
- 14- Developing AI Agents
- 15- Real-World Agents Applications
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