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The early-career professional's guid...

Bjerg, Jonas.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The early-career professional's guide to generative AI/ by Jonas Bjerg.
其他題名:	opportunities and challenges for an AI-enabled workforce /
作者:	Bjerg, Jonas.
出版者:	Berkeley, CA :Apress : : 2024.,
面頁冊數:	xvi, 185 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Natural language generation (Computer science) -
電子資源:	https://doi.org/10.1007/979-8-8688-0456-4
ISBN:	9798868804564

The early-career professional's guide to generative AI = opportunities 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

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

ChatGPT.
Subjects--Topical Terms:

3510748
Natural language generation (Computer science)

LC Class. No.: QA76.9.N38

Dewey Class. No.: 006.35

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