國立高雄大學圖資館 |

Language: English

Back

The early-career professional's guid...

Bjerg, Jonas.

The early-career professional's guide to generative AIopportunities and challenges for an AI-enabled workforce /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The early-career professional's guide to generative AIby Jonas Bjerg.
Reminder of title:	opportunities and challenges for an AI-enabled workforce /
Author:	Bjerg, Jonas.
Published:	Berkeley, CA :Apress :2024.
Description:	xvi, 185 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Natural language generation (Computer science)
Online resource:	https://doi.org/10.1007/979-8-8688-0456-4
ISBN:	9798868804564$q(electronic bk.)

The early-career professional's guide to generative AIopportunities and challenges for an AI-enabled workforce /
Bjerg, Jonas.

The early-career professional's guide to generative AIopportunities and challenges for an AI-enabled workforce /[electronic resource] :by Jonas Bjerg. - Berkeley, CA :Apress :2024. - xvi, 185 p. :ill., digital ;24 cm.

Chapter 1: Introduction -- Chapter 2: A brief AI History -- Chapter 3: Understanding Language Models -- Chapter 4: The Unexpected Evolution of AI -- Chapter 5: The Business Opportunities of Today -- Chapter 6: The Future of AGI -- Chapter 7: Navigating the AI Landscape -- Chapter 8: The Early Career Professional's Future With AI -- Chapter 9: The AI Gold Rush and the Future of Business -- Chapter 10: Tips and Tricks for Prompt Engineering -- Chapter 11: Ethical Implications and Societal Impact of AI -- Chapter 12: The Platform Shift.

The world stands at a pivotal moment due to the emergence of Generative AI, specifically ChatGPT. This groundbreaking technology has provoked and impressed almost every industry globally, evoking every emotion from awe to anxiety. Many are apprehensive about the future, fearing job losses due to rapid artificial intelligence (AI advancements) But if history has taught us anything, progress, while challenging, often paves the way for broader opportunities and growth. This book explains in depth the core building blocks that make up the current landscape of transformer and language models and, more broadly speaking, AI as a whole. We have seen how the internet and the mobile revolution changed our world. Is AI following a similar trajectory? Are we on the verge of something even more transformative? This book strives to provide a complete picture of the challenges and opportunities and the implications for our shared futures. In subsequent chapters, the book will discuss language models in depth. These are not just algorithms; they represent a nexus of linguistics, cognitive science, and cutting-edge technology. You'll trace AI's unexpected and exhilarating evolution, observing how it has grown from a mere concept to a force reshaping entire industries. Finally, you'll consider the rise of AI in the context of advancements. While ChatGPT has gained significant attention for certain applications, it's essential to recognize that its capabilities extend far beyond what's immediately evident. Artificial Intelligence, represented by models like ChatGPT, is not a static field. It's dynamic and ever-evolving, and its potential applications are broadening each day. Technology is not, by any means, limited to chatbots or translation use cases. This book captures this vast and ever-expanding horizon of possibilities.

ISBN: 9798868804564$q(electronic bk.)

Standard No.: 10.1007/979-8-8688-0456-4doiSubjects--Uniform Titles:

ChatGPT.
Subjects--Topical Terms:

900186
Natural language generation (Computer science)

LC Class. No.: QA76.9.N38

Dewey Class. No.: 006.35

The early-career professional's guide to generative AIopportunities and challenges for an AI-enabled workforce /
LDR:03463nmm a22003375a 4500 001 668331
003 DE-He213
005 20240828130230.0
006 m d
007 cr nn 008maaau
008 250107s2024 cau s 0 eng d
020 $a 9798868804564$q(electronic bk.)
020 $a 9798868804557$q(paper)
024 7 $a 10.1007/979-8-8688-0456-4 $2 doi
035 $a 979-8-8688-0456-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.N38
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.35 $2 23
090 $a QA76.9.N38 $b B626 2024
100 1 $a Bjerg, Jonas. $3 981316
245 1 4 $a The early-career professional's guide to generative AI $h [electronic resource] : $b opportunities and challenges for an AI-enabled workforce / $c by Jonas Bjerg.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2024.
300 $a xvi, 185 p. : $b ill., digital ; $c 24 cm.
347 $a text file $b PDF $2 rda
505 0 $a Chapter 1: Introduction -- Chapter 2: A brief AI History -- Chapter 3: Understanding Language Models -- Chapter 4: The Unexpected Evolution of AI -- Chapter 5: The Business Opportunities of Today -- Chapter 6: The Future of AGI -- Chapter 7: Navigating the AI Landscape -- Chapter 8: The Early Career Professional's Future With AI -- Chapter 9: The AI Gold Rush and the Future of Business -- Chapter 10: Tips and Tricks for Prompt Engineering -- Chapter 11: Ethical Implications and Societal Impact of AI -- Chapter 12: The Platform Shift.
520 $a The world stands at a pivotal moment due to the emergence of Generative AI, specifically ChatGPT. This groundbreaking technology has provoked and impressed almost every industry globally, evoking every emotion from awe to anxiety. Many are apprehensive about the future, fearing job losses due to rapid artificial intelligence (AI advancements) But if history has taught us anything, progress, while challenging, often paves the way for broader opportunities and growth. This book explains in depth the core building blocks that make up the current landscape of transformer and language models and, more broadly speaking, AI as a whole. We have seen how the internet and the mobile revolution changed our world. Is AI following a similar trajectory? Are we on the verge of something even more transformative? This book strives to provide a complete picture of the challenges and opportunities and the implications for our shared futures. In subsequent chapters, the book will discuss language models in depth. These are not just algorithms; they represent a nexus of linguistics, cognitive science, and cutting-edge technology. You'll trace AI's unexpected and exhilarating evolution, observing how it has grown from a mere concept to a force reshaping entire industries. Finally, you'll consider the rise of AI in the context of advancements. While ChatGPT has gained significant attention for certain applications, it's essential to recognize that its capabilities extend far beyond what's immediately evident. Artificial Intelligence, represented by models like ChatGPT, is not a static field. It's dynamic and ever-evolving, and its potential applications are broadening each day. Technology is not, by any means, limited to chatbots or translation use cases. This book captures this vast and ever-expanding horizon of possibilities.
630 0 0 $a ChatGPT. $3 957620
650 0 $a Natural language generation (Computer science) $3 900186
650 0 $a Neural networks (Computer science) $3 181982
650 0 $a Artificial intelligence. $3 194058
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Machine Learning. $3 833608
650 2 4 $a Computer Science. $3 212513
650 2 4 $a Business and Management. $2 eflch $3 639169
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/979-8-8688-0456-4
950 $a Professional and Applied Computing (SpringerNature-12059)