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Building generative AI agents : (Record no. 141978)

MARC details
000 -LEADER
fixed length control field 01823nam a22002417a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260807122250.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260807s2025 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9798868811333
040 ## - CATALOGING SOURCE
Transcribing agency PK-LaUMT
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Item number TAU-B
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Taulli, Tom
245 10 - TITLE STATEMENT
Title Building generative AI agents :
Remainder of title using LangGraph, AutoGen, and CrewAI /
Statement of responsibility, etc Tom Taulli and Gaurav Deshmukh
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New York :
Name of publisher, distributor, etc Apress,
Date of publication, distribution, etc 2025
300 ## - PHYSICAL DESCRIPTION
Extent ix, 275 p.
500 ## - GENERAL NOTE
General note Index present
520 ## - SUMMARY, ETC.
Summary, etc 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 demonstrated remarkable potential, the years ahead will see the rise of generative AI agents capable of executing complex tasks on behalf of users.
546 ## - LANGUAGE NOTE
Language note Eng
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Generative AI
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Deshmukh, Gaurav
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Home library Current library Date acquired Full call number Barcode Date last seen Price effective from Koha item type
      UMT Main Campus UMT Main Campus 2026-08-07 006.3 TAU-B 153850 2026-08-07 2026-08-07 Books