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Context Engineering in AI Agents: Techniques and Frameworks for Building Contextually Intelligent AI Systems
Paperback
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ISBN13: 9798297558779
Publisher: Independently Published
Published: Aug 11 2025
Pages: 146
Weight: 0.58
Height: 0.31 Width: 7.00 Depth: 10.00
Language: English
Publisher: Independently Published
Published: Aug 11 2025
Pages: 146
Weight: 0.58
Height: 0.31 Width: 7.00 Depth: 10.00
Language: English
How can AI systems anticipate your needs, adapt to dynamic environments, and collaborate seamlessly? The answer lies in mastering context engineering-a critical skill for building intelligent, responsive AI agents. Context Engineering in AI Agents offers a comprehensive guide to designing AI systems that leverage context to achieve human-like intelligence. This book explores the art and science of enabling AI agents to perceive, interpret, and act on complex, real-world information. From robotics navigating dynamic spaces to large language models delivering personalized responses, it provides practical frameworks, techniques, and best practices for creating contextually aware systems. Through clear explanations and real-world case studies, readers will learn how to harness context to build AI that is adaptive, ethical, and efficient. This book stands out with its in-depth exploration of key topics, equipping readers with actionable insights:
-Robotics and Autonomous Systems: Learn how robots use sensor data and mission context to navigate and adapt.
-Multi-Agent and Distributed Systems: Discover strategies for coordinating agents through shared context, enabling emergent behaviors like drone swarms.
-Large Language Models and Contextual Reasoning: Master prompt design, retrieval-augmented generation (RAG), and tool integration for intelligent LLMs.
-Edge AI and Contextual Intelligence: Explore how resource-constrained devices leverage local context for real-time decisions.
-Engineering Techniques and Best Practices: Gain practical methods for managing context, from modular designs to performance optimization.
-Challenges, Evaluation, and Future Directions: Understand how to evaluate contextual AI, address ethical concerns, and anticipate future trends like long-context models. Readers will gain a deep understanding of context engineering, supported by pseudocode examples and case studies, making this book essential for AI developers, researchers, and engineers. Ready to build AI that thinks and acts with context? Grab your copy of Context Engineering in AI Agents today and start creating intelligent, adaptive systems that transform industries and enhance lives!
-Multi-Agent and Distributed Systems: Discover strategies for coordinating agents through shared context, enabling emergent behaviors like drone swarms.
-Large Language Models and Contextual Reasoning: Master prompt design, retrieval-augmented generation (RAG), and tool integration for intelligent LLMs.
-Edge AI and Contextual Intelligence: Explore how resource-constrained devices leverage local context for real-time decisions.
-Engineering Techniques and Best Practices: Gain practical methods for managing context, from modular designs to performance optimization.
-Challenges, Evaluation, and Future Directions: Understand how to evaluate contextual AI, address ethical concerns, and anticipate future trends like long-context models. Readers will gain a deep understanding of context engineering, supported by pseudocode examples and case studies, making this book essential for AI developers, researchers, and engineers. Ready to build AI that thinks and acts with context? Grab your copy of Context Engineering in AI Agents today and start creating intelligent, adaptive systems that transform industries and enhance lives!
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