Next-Gen AI (eBook, ePUB)
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Next-Gen AI: Building Intelligent Systems for Complex Environments is a comprehensive, expertly compiled guide for engineers, AI architects, system designers, and AI enthusiasts seeking to master the design, deployment, and scaling of agentic AI systems. This book provides a deep, forward-looking exploration of autonomous, adaptive, and goal-driven AI agents, offering practical guidance, conceptual frameworks, case studies, and visionary strategies for real-world applications across finance, robotics, smart cities, and enterprise automation.Spanning 20 chapters, the book covers foundational pr...
Next-Gen AI: Building Intelligent Systems for Complex Environments is a comprehensive, expertly compiled guide for engineers, AI architects, system designers, and AI enthusiasts seeking to master the design, deployment, and scaling of agentic AI systems. This book provides a deep, forward-looking exploration of autonomous, adaptive, and goal-driven AI agents, offering practical guidance, conceptual frameworks, case studies, and visionary strategies for real-world applications across finance, robotics, smart cities, and enterprise automation.
Spanning 20 chapters, the book covers foundational principles, reasoning loops, adaptive architectures, multi-agent collaboration, integration with external tools, cognitive and memory systems, safety, benchmarking, and human-centered AI design. Each chapter presents illustrative scenarios and actionable insights without relying on code, making complex concepts accessible and immediately applicable.
Readers will gain a holistic understanding of next-generation AI systems, including strategies for scaling, monitoring, evaluation, ethical design, and future trends toward 2026 and beyond. Compiled and arranged by BRAHIM TIMEZGHINE, this book serves as a definitive technical reference and practical manual for building intelligent, autonomous, and resilient AI agents in complex environments.
Spanning 20 chapters, the book covers foundational principles, reasoning loops, adaptive architectures, multi-agent collaboration, integration with external tools, cognitive and memory systems, safety, benchmarking, and human-centered AI design. Each chapter presents illustrative scenarios and actionable insights without relying on code, making complex concepts accessible and immediately applicable.
Readers will gain a holistic understanding of next-generation AI systems, including strategies for scaling, monitoring, evaluation, ethical design, and future trends toward 2026 and beyond. Compiled and arranged by BRAHIM TIMEZGHINE, this book serves as a definitive technical reference and practical manual for building intelligent, autonomous, and resilient AI agents in complex environments.
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