ChatGPT: Inside and Impact on Business Automation

Ken Huang () and Chunxiao Xing ()
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Ken Huang: DistributedApps.aih
Chunxiao Xing: Tsinghua University

Chapter Chapter 2 in Beyond AI, 2023, pp 37-65 from Springer

Abstract: Abstract This chapter delves into the underpinnings of ChatGPT and generative AI, examining machine learning, neural networks, and their architectures, including CNNs, RNNs, and LSTMs. It explores generative AI’s potential to create new data instances that mirror the training data, with applications extending from text to image synthesis. The chapter highlights key technologies driving ChatGPT, including the transformative Transformer architecture and language model creation techniques. We also evaluate pivotal research papers in the GPT series that have significantly contributed to AI advancements. The chapter concludes with an analysis of ChatGPT’s implications for business automation, providing insights into the evolving landscape of AI-driven automation and strategic preparations for business leaders.

Keywords: ChatGPT; Generative AI; Machine learning; Neural networks; Transformer architecture; Language model creation; Text-to-image synthesis; GPT research papers; Business automation; AI-driven strategy (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-031-45282-6_2

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DOI: 10.1007/978-3-031-45282-6_2

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