1. Designing Agentive Technology: AI That Works for People
This insightful book by Christopher Noessel delves into how agentive technology can transform our interactions with AI systems. Noessel emphasizes the importance of designing AI that complements human abilities and enhances everyday experiences. With engaging examples and practical insights, this book is a comprehensive guide for anyone looking to understand how to create technology that works *with* humans rather than against them. A must-read for technologists, designers, and curious minds alike.
2. Agentic AI: Harnessing the Power of Autonomous Systems in the Modern Workplace
Taylor Royce offers a practical exploration of autonomous systems and their role in modern workplaces. The book makes a compelling argument for integrating AI more deeply into our professional lives. Its approachable language coupled with case studies make it an essential tool in understanding how to leverage AI for increased efficiency and productivity. Anyone looking to adapt to the changing workplace dynamics will find invaluable lessons and strategies throughout.
3. Build a Large Language Model (From Scratch)
Are you curious about the complexities behind language models? Sebastian Raschka takes you through the step-by-step process of building your own large language model from the ground up. This book is filled with hands-on instructions and rich explanations of the underlying algorithms, making it a valuable guide for both novice and advanced readers in the AI field. Whether you want to enhance your programming skills or create a unique AI tool, this book equips you with all the knowledge you need.
4. Foundations of Agentic AI for Executives: Understanding through DATA and Data-Driven Insights
P. Kumar’s book is a critical read for executives who seek to understand the strategic implications of agentic AI. Focusing on data-driven insights, it offers a framework for decision-making in an AI-enhanced environment. This book stands out by addressing the concerns and opportunities that AI presents at an executive level, making it indispensable for leaders aiming to navigate and deploy AI solutions within their organizations effectively.
5. LangGraph: A Comprehensive Guide to Building Agentic and Multi-agent Applications for Advanced AI Workflows
Morgan Devline provides crucial insight into developing advanced multi-agent systems. This book serves as a guide for creating scalable and efficient AI applications, positioning itself as a necessary resource for software engineers and developers eager to innovate in the space of agentic applications. Its clear instructions and comprehensive examples illustrate how
