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Anand Vemula
Introduction to Agentic AI: Unlocking the Potential of Self-Improving AI Systems
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7382849Introduction to Agentic AI: Unlocking the Potential of Self-Improving AI Systemshttps://www.gandhi.com.mx/introduction-to-agentic-ai--unlocking-the-potential-of-self-improving-ai-systems-9798318178948/phttps://gandhi.vtexassets.com/arquivos/ids/6973050/image.jpg?v=638773952510570000309309MXNGandhiInStock/Audiolibros/<p>This audiobook is narrated by a digital voice.</p><p><strong>Introduction to Agentic AI: Unlocking the Potential of Self-Improving AI Systems</strong> explores the evolution, architecture, and real-world applications of <strong>autonomous, adaptive, and self-improving AI agents</strong>. Unlike traditional AI models, <strong>Agentic AI</strong> systems exhibit autonomy, goal-driven behavior, and the ability to learn and optimize over time without human intervention.</p><p>The book begins by defining the <strong>core principles</strong> of Agentic AI, highlighting its distinction from conventional machine learning systems. It delves into <strong>key components</strong> such as <strong>cognitive architectures, decision-making frameworks, multi-agent collaboration, reinforcement learning</strong>, and <strong>memory management</strong>, explaining how AI agents perceive, reason, and adapt. Advanced techniques like <strong>hybrid AI architectures</strong>, <strong>self-optimization loops</strong>, and <strong>meta-learning</strong> are discussed in depth, demonstrating how AI agents continuously refine their capabilities.</p><p>Practical applications of Agentic AI are explored in <strong>healthcare, autonomous vehicles, finance, business automation, and multi-agent systems</strong>. The book examines <strong>real-world challenges</strong>, including <strong>AI alignment, security threats, ethical dilemmas, and regulatory compliance</strong>, ensuring responsible deployment of self-improving AI.</p><p>Finally, the book looks ahead to the <strong>future of AI</strong>, covering advancements toward <strong>Artificial General Intelligence (AGI)</strong>, the role of <strong>explainable AI (XAI)</strong>, and the <strong>emerging trends</strong> shaping next-generation AI systems.</p>...7016772Introduction to Agentic AI: Unlocking the Potential of Self-Improving AI Systems309309https://www.gandhi.com.mx/introduction-to-agentic-ai--unlocking-the-potential-of-self-improving-ai-systems-9798318178948/phttps://gandhi.vtexassets.com/arquivos/ids/6973050/image.jpg?v=638773952510570000InStockMXN99999DIAudiolibro20259798318178948_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9798318178948_<p>This audiobook is narrated by a digital voice.</p><p><strong>Introduction to Agentic AI: Unlocking the Potential of Self-Improving AI Systems</strong> explores the evolution, architecture, and real-world applications of <strong>autonomous, adaptive, and self-improving AI agents</strong>. Unlike traditional AI models, <strong>Agentic AI</strong> systems exhibit autonomy, goal-driven behavior, and the ability to learn and optimize over time without human intervention.</p><p>The book begins by defining the <strong>core principles</strong> of Agentic AI, highlighting its distinction from conventional machine learning systems. It delves into <strong>key components</strong> such as <strong>cognitive architectures, decision-making frameworks, multi-agent collaboration, reinforcement learning</strong>, and <strong>memory management</strong>, explaining how AI agents perceive, reason, and adapt. Advanced techniques like <strong>hybrid AI architectures</strong>, <strong>self-optimization loops</strong>, and <strong>meta-learning</strong> are discussed in depth, demonstrating how AI agents continuously refine their capabilities.</p><p>Practical applications of Agentic AI are explored in <strong>healthcare, autonomous vehicles, finance, business automation, and multi-agent systems</strong>. The book examines <strong>real-world challenges</strong>, including <strong>AI alignment, security threats, ethical dilemmas, and regulatory compliance</strong>, ensuring responsible deployment of self-improving AI.</p><p>Finally, the book looks ahead to the <strong>future of AI</strong>, covering advancements toward <strong>Artificial General Intelligence (AGI)</strong>, the role of <strong>explainable AI (XAI)</strong>, and the <strong>emerging trends</strong> shaping next-generation AI systems.</p>...9798318178948_Anand Vemulaaudiolibro_9798318178948_9798318178948Anand VemulaInglésMéxicoNoMINUTE2025-03-11T00:00:00+00:00Anand Vemula