Applied Generative AI for Beginners : Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs (Record no. 51183)

MARC details
000 -LEADER
fixed length control field 02197 a2200217 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250826175654.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9798868805912
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3 KUL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kulkarni, Akshay
245 ## - TITLE STATEMENT
Title Applied Generative AI for Beginners :<br/>Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Apress
Date of publication, distribution, etc 2023
Place of publication, distribution, etc New York
300 ## - PHYSICAL DESCRIPTION
Extent 212
520 ## - SUMMARY, ETC.
Summary, etc This book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It serves as a one-stop resource for anyone interested in understanding and applying this transformative technology and is particularly aimed at those just getting started with generative AI.<br/><br/>Applied Generative AI for Beginners is structured around detailed chapters that will guide you from foundational knowledge to practical implementation. It starts with an introduction to generative AI and its current landscape, followed by an exploration of how the evolution of neural networks led to the development of large language models. The book then delves into specific architectures like ChatGPT and Google Bard, offering hands-on demonstrations for implementation using tools like Sklearn. You'll also gain insight into the strategic aspects of implementing generative AI in an enterprise setting, with the authors covering crucial topics such as LLMOps, technology stack selection, and in-context learning. The latter part of the book explores generative AI for images and provides industry-specific use cases, making it a comprehensive guide for practical application in various domains.<br/><br/>Whether you're a data scientist looking to implement advanced models, a business leader aiming to leverage AI for enterprise growth, or an academic interested in cutting-edge advancements, this book offers a concise yet thorough guide to mastering generative AI, balancing theoretical knowledge with practical insights.
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 Beginners
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element ChatGPT
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Shivananda, Adarsha
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Kulkarni, Anoosh
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Gudivada, Dilip
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

No items available.