Agentic AI in 2025 - Pitman, Brian
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Agentic AI in 2025: The Self-Learning Systems That Will Replace Traditional AI Forever is a groundbreaking guide that reveals the future of autonomous, self-directed AI systems and sets the stage for the next revolution in technology. This book offers an in-depth exploration of agentic AI systems using retrieval-augmented generation (RAG) to build intelligent, adaptive architectures that operate with minimal human intervention. Whether you're interested in the practical guide to innovation in AI, mastering agentic AI with cutting-edge Python implementations, or exploring cognitive frameworks…mehr

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Agentic AI in 2025: The Self-Learning Systems That Will Replace Traditional AI Forever is a groundbreaking guide that reveals the future of autonomous, self-directed AI systems and sets the stage for the next revolution in technology. This book offers an in-depth exploration of agentic AI systems using retrieval-augmented generation (RAG) to build intelligent, adaptive architectures that operate with minimal human intervention. Whether you're interested in the practical guide to innovation in AI, mastering agentic AI with cutting-edge Python implementations, or exploring cognitive frameworks for agentic systems, this book provides a comprehensive resource for both technical professionals and business leaders. Inside these pages, you will discover how to design and implement agentic AI in action-from detailed agentic AI architecture and multi-agent systems with RAG to step-by-step practical instructions for building self-directed, autonomous AI systems. The book demystifies concepts such as agentic RAG architecture and intelligent systems for real-world applications, empowering you to harness the power of modern agentic artificial intelligence and transform traditional approaches. Drawing on the latest research and best practices, this book delves into topics such as: * How agentic AI systems using RAG are revolutionizing the way we approach decision-making and innovation. * Detailed insights into designing, coding, and deploying autonomous AI systems with Python. * Cognitive frameworks for agentic systems that drive intelligent collaboration and multi-agent coordination. * A practical guide to creating, scaling, and mastering self-learning AI systems that are future-proof and built for real-world impact. * Strategies to build self-directed AI systems that not only enhance efficiency but also secure a competitive edge in an increasingly automated world. With expert analysis, real-world case studies, and actionable code examples, Agentic AI in 2025 is your definitive resource for mastering agentic AI. Whether you are a developer, a business strategist, or an AI enthusiast, this book equips you with the knowledge and tools to build intelligent systems that will redefine innovation and drive the artificial intelligence revolution forward. Prepare to explore the potential of autonomous AI systems and step confidently into the future where AI thinks for itself, scales with business operations, and shapes a new era of technological advancement.
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