東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Understanding generative AI business applications = a guide to technical principles and real-world applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Understanding generative AI business applications/ by Irena Cronin.
Reminder of title:	a guide to technical principles and real-world applications /
Author:	Cronin, Irena.
Published:	Berkeley, CA :Apress : : 2024.,
Description:	xxvi, 248 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1: Introduction to the World of Generative AI -- Chapter 2: Core Technical Concepts -- Chapter 3: The Business Case for Generative AI -- Chapter 4: The World of Text-based Generative AI -- Chapter 5: Unpacking Transformer-based NLP -- Chapter 6: Exploring Chatbot Technologies -- Chapter 7: Advanced Applications of Text-based AI -- Chapter 8: Senses-based Generative AI Demystified -- Chapter 9: In-depth Look at Supportive Visual Algorithms and Computer Vision -- Chapter 10: The Auditory and Multisensory Experience -- Chapter 11: Autonomous AI Agents: Decision Making, Data, and Algorithms -- Chapter 12: Text-based Generative Intelligent Agents: Beyond Traditional Chatbots and Virtual Assistants -- Chapter 13: Applications and Real-world Case Studies -- Chapter 14: Summarizing Key Insights -- Chapter 15: The Evolving World of Generative AI.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/979-8-8688-0282-9
ISBN:	9798868802829

Understanding generative AI business applications = a guide to technical principles and real-world applications /
Cronin, Irena.

Understanding generative AI business applicationsa guide to technical principles and real-world applications /[electronic resource] :by Irena Cronin. - Berkeley, CA :Apress :2024. - xxvi, 248 p. :ill., digital ;24 cm.

Chapter 1: Introduction to the World of Generative AI -- Chapter 2: Core Technical Concepts -- Chapter 3: The Business Case for Generative AI -- Chapter 4: The World of Text-based Generative AI -- Chapter 5: Unpacking Transformer-based NLP -- Chapter 6: Exploring Chatbot Technologies -- Chapter 7: Advanced Applications of Text-based AI -- Chapter 8: Senses-based Generative AI Demystified -- Chapter 9: In-depth Look at Supportive Visual Algorithms and Computer Vision -- Chapter 10: The Auditory and Multisensory Experience -- Chapter 11: Autonomous AI Agents: Decision Making, Data, and Algorithms -- Chapter 12: Text-based Generative Intelligent Agents: Beyond Traditional Chatbots and Virtual Assistants -- Chapter 13: Applications and Real-world Case Studies -- Chapter 14: Summarizing Key Insights -- Chapter 15: The Evolving World of Generative AI.

This guide covers the fundamental technical principles and various business applications of Generative AI for planning, developing, and evaluating AI-driven products. It equips you with the knowledge you need to harness the potential of Generative AI for enhancing business creativity and productivity. The book is organized into three sections: text-based, senses-based, and rationale-based. Each section provides an in-depth exploration of the specific methods and applications of Generative AI. In the text-based section, you will find detailed discussions on designing algorithms to automate and enhance written communication, including insights into the technical aspects of transformer-based Natural Language Processing (NLP) and chatbot architecture, such as GPT-4, Claude 2, Google Bard, and others. The senses-based section offers a glimpse into the algorithms and data structures that underpin visual, auditory, and multisensory experiences, including NeRF, 3D Gaussian Splatting, StableDiffusion, AR and VR technologies, and more. The rationale-based section illuminates the decision-making capabilities of AI, with a focus on machine learning and data analytics techniques that empower applications such as simulation models, agents, and autonomous systems. In summary, this book serves as a guide for those seeking to navigate the dynamic landscape of Generative AI. Whether you're a seasoned AI professional or a business leader looking to harness the power of creative automation, these pages offer a roadmap to leverage Generative AI for your organization's success. What You Will Learn What are the technical elements that constitute the makeup of Generative AI products? What are the practical applications of Generative AI? How can algorithms be designed to automate and improve written communication? What are the latest Generative AI architectures and algorithms?

ISBN: 9798868802829

Standard No.: 10.1007/979-8-8688-0282-9doiSubjects--Topical Terms:

516317
Artificial intelligence.

LC Class. No.: Q335 / .C76 2024

Dewey Class. No.: 006.3

Understanding generative AI business applications = a guide to technical principles and real-world applications /
LDR:03790nmm a2200325 a 4500 001 2371864
003 DE-He213
005 20240522130137.0
006 m d
007 cr nn 008maaau
008 241127s2024 cau s 0 eng d
020 $a 9798868802829 $q (electronic bk.)
020 $a 9798868802812 $q (paper)
024 7 $a 10.1007/979-8-8688-0282-9 $2 doi
035 $a 979-8-8688-0282-9
040 $a GP $c GP
041 0 $a eng
050 4 $a Q335 $b .C76 2024
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q335 $b .C947 2024
100 1 $a Cronin, Irena. $3 3718183
245 1 0 $a Understanding generative AI business applications $h [electronic resource] : $b a guide to technical principles and real-world applications / $c by Irena Cronin.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2024.
300 $a xxvi, 248 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: Introduction to the World of Generative AI -- Chapter 2: Core Technical Concepts -- Chapter 3: The Business Case for Generative AI -- Chapter 4: The World of Text-based Generative AI -- Chapter 5: Unpacking Transformer-based NLP -- Chapter 6: Exploring Chatbot Technologies -- Chapter 7: Advanced Applications of Text-based AI -- Chapter 8: Senses-based Generative AI Demystified -- Chapter 9: In-depth Look at Supportive Visual Algorithms and Computer Vision -- Chapter 10: The Auditory and Multisensory Experience -- Chapter 11: Autonomous AI Agents: Decision Making, Data, and Algorithms -- Chapter 12: Text-based Generative Intelligent Agents: Beyond Traditional Chatbots and Virtual Assistants -- Chapter 13: Applications and Real-world Case Studies -- Chapter 14: Summarizing Key Insights -- Chapter 15: The Evolving World of Generative AI.
520 $a This guide covers the fundamental technical principles and various business applications of Generative AI for planning, developing, and evaluating AI-driven products. It equips you with the knowledge you need to harness the potential of Generative AI for enhancing business creativity and productivity. The book is organized into three sections: text-based, senses-based, and rationale-based. Each section provides an in-depth exploration of the specific methods and applications of Generative AI. In the text-based section, you will find detailed discussions on designing algorithms to automate and enhance written communication, including insights into the technical aspects of transformer-based Natural Language Processing (NLP) and chatbot architecture, such as GPT-4, Claude 2, Google Bard, and others. The senses-based section offers a glimpse into the algorithms and data structures that underpin visual, auditory, and multisensory experiences, including NeRF, 3D Gaussian Splatting, StableDiffusion, AR and VR technologies, and more. The rationale-based section illuminates the decision-making capabilities of AI, with a focus on machine learning and data analytics techniques that empower applications such as simulation models, agents, and autonomous systems. In summary, this book serves as a guide for those seeking to navigate the dynamic landscape of Generative AI. Whether you're a seasoned AI professional or a business leader looking to harness the power of creative automation, these pages offer a roadmap to leverage Generative AI for your organization's success. What You Will Learn What are the technical elements that constitute the makeup of Generative AI products? What are the practical applications of Generative AI? How can algorithms be designed to automate and improve written communication? What are the latest Generative AI architectures and algorithms?
650 0 $a Artificial intelligence. $3 516317
650 0 $a Business $x Data processing. $3 527441
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Python. $3 3201289
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/979-8-8688-0282-9
950 $a Professional and Applied Computing (SpringerNature-12059)