From ChatGPT, DALL-E 3 to Sora: How has Generative AI Changed Digital Humanities Research and Services?
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| I publikationen: | arXiv.org (Apr 29, 2024), p. n/a |
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| Huvudupphov: | |
| Övriga upphov: | , , |
| Utgiven: |
Cornell University Library, arXiv.org
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| Ämnen: | |
| Länkar: | Citation/Abstract Full text outside of ProQuest |
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| 001 | 3049785842 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2331-8422 | ||
| 035 | |a 3049785842 | ||
| 045 | 0 | |b d20240429 | |
| 100 | 1 | |a Liu, Jiangfeng | |
| 245 | 1 | |a From ChatGPT, DALL-E 3 to Sora: How has Generative AI Changed Digital Humanities Research and Services? | |
| 260 | |b Cornell University Library, arXiv.org |c Apr 29, 2024 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a Generative large-scale language models create the fifth paradigm of scientific research, organically combine data science and computational intelligence, transform the research paradigm of natural language processing and multimodal information processing, promote the new trend of AI-enabled social science research, and provide new ideas for digital humanities research and application. This article profoundly explores the application of large-scale language models in digital humanities research, revealing their significant potential in ancient book protection, intelligent processing, and academic innovation. The article first outlines the importance of ancient book resources and the necessity of digital preservation, followed by a detailed introduction to developing large-scale language models, such as ChatGPT, and their applications in document management, content understanding, and cross-cultural research. Through specific cases, the article demonstrates how AI can assist in the organization, classification, and content generation of ancient books. Then, it explores the prospects of AI applications in artistic innovation and cultural heritage preservation. Finally, the article explores the challenges and opportunities in the interaction of technology, information, and society in the digital humanities triggered by AI technologies. | |
| 653 | |a Digital preservation | ||
| 653 | |a Data processing | ||
| 653 | |a Large language models | ||
| 653 | |a Cultural factors | ||
| 653 | |a Natural language processing | ||
| 653 | |a Digital humanities | ||
| 653 | |a Chatbots | ||
| 653 | |a Cultural resources | ||
| 653 | |a Innovations | ||
| 653 | |a Cultural heritage | ||
| 653 | |a Generative artificial intelligence | ||
| 653 | |a Social sciences | ||
| 700 | 1 | |a Wang, Ziyi | |
| 700 | 1 | |a Xie, Jing | |
| 700 | 1 | |a Pei, Lei | |
| 773 | 0 | |t arXiv.org |g (Apr 29, 2024), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3049785842/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/2404.18518 |