a survey on GPT-3

December 01, 2022 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: a survey on GPT-3"

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Authors Mingyu Zong, Bhaskar Krishnamachari arXiv ID 2212.00857 Category cs.CL: Computation & Language Cross-listed cs.AI Citations 43 Venue arXiv.org Last Checked 2 days ago
Abstract
This paper provides an introductory survey to GPT-3. We cover some of the historical development behind this technology, some of the key features of GPT-3, and discuss the machine learning model and the datasets used. We survey both academic and commercial efforts applying GPT-3 in diverse domains such as developing conversational AI chatbots, software development, creative work, domain knowledge, and business productivity. We discuss some of the challenges that GPT-3 faces such as the problems of training complexity, bias, and hallucination/incorrect answers. We also discuss the future research opportunities in this area.
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