04404nam a22005655i 4500 979-8-8688-0456-4 DE-He213 20251030111749.0 cr nn 008mamaa 240828s2024 xxu| s |||| 0|eng d 9798868804564 979-8-8688-0456-4 10.1007/979-8-8688-0456-4 doi Q334-342 TA347.A78 UYQ bicssc COM004000 bisacsh UYQ thema Bjerg, Jonas. author. aut http://id.loc.gov/vocabulary/relators/aut 74144 The Early-Career Professional’s Guide to Generative AI [electronic resource] : Opportunities and Challenges for an AI-Enabled Workforce / by Jonas Bjerg. 1st ed. 2024. Berkeley, CA : Apress : Imprint: Apress, 2024. XVI, 185 p. 4 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. Artificial intelligence. 58441 Machine learning. 55059 Computer science. 58552 Business. 58353 Management science. 57941 Artificial Intelligence. 58441 Machine Learning. 55059 Computer Science. 58552 Business and Management. SpringerLink (Online service) Springer Nature eBook Printed edition: 9798868804557 Printed edition: 9798868804571 Printed edition: 9798868810947 https://doi.org/10.1007/979-8-8688-0456-4 ZDB-2-CWD ZDB-2-SXPC 58721 58721