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Agentic AI

Architectures, Intelligence, and the Future of Autonomous Systems

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Agentic AI

By: Ajit Singh
Narrated by: Virtual Voice
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About this listen

 Agentic AI: Architectures, Intelligence, and the Future of Autonomous Systems is conceived as a comprehensive exploration of this exciting frontier. This book endeavors to dissect the multifaceted nature of Agentic AI. We will begin by establishing a clear definition and historical context, distinguishing agentic systems from their predecessors. We will then delve into the foundational pillars—the core technologies like LLMs, reinforcement learning, and knowledge representation that empower these agents.

A significant portion of the text is dedicated to the architectures that bring these components together, from conceptual frameworks like ReAct (Reasoning and Acting) and RAG (Retrieval Augmented Generation) when applied in agentic loops, to more elaborate cognitive architectures that enable sophisticated planning, memory, and tool integration.

Throughout this book, my aim is to provide not just theoretical exposition but also practical insights and illustrative examples. The content is curated to be up-to-date, reflecting the latest research and developments in this rapidly evolving field. Each chapter is designed to build upon the last, offering a structured journey from fundamental concepts to advanced topics and future possibilities. Explanations are intended to be detailed and enriched, fostering a deep understanding rather than a superficial acquaintance.

Happy Learning!!

 Computer Science Architecture Data Science Machine Learning
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