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Building Generative AI Agents

Using LangGraph, AutoGen, and CrewAI
Tom Taulli, Gaurav Deshmukh
Publisher: Springer Nature
Published: 2025
ISBN-13: 9798868811340
Pages: 275
Subjects: Computers / Artificial Intelligence / General, Mathematics / Probability & Statistics / General, Computers / Information Technology
1 study resource available for this textbook

About Building Generative AI Agents

The dawn of AI agents is upon us. Tech visionaries like Bill Gates, Andrew Ng, and Vinod Khosla have highlighted the monumental potential of this powerful technology. This book will provide the knowledge and tools necessary to build generative AI agents using the most popular frameworks, such as AutoGen, LangChain, LangGraph, CrewAI, and Haystack. Recent breakthroughs in large language models have opened up unprecedented possibilities. After years of gradual progress in machine learning and deep learning, we are now witnessing novel approaches capable of understanding, reasoning, and generating content in ways that promise to revolutionize nearly every industry. This platform shift is as significant as the advent of mainframes, PCs, cloud computing, mobile technology, and social media. It’s why the world’s largest technology companies – like Microsoft, Apple, Google, and Meta – are making enormous investments in this category. While chatbots like ChatGPT, Claude, and Gemini have demons...

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