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Navigating the text generation revolution: Traditional data-to-text NLG companies and the rise of ChatGPT.
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- Author(s): Dale, Robert (AUTHOR)
- Source:
Natural Language Engineering. Jul2023, Vol. 29 Issue 4, p1188-1197. 10p. - Source:
- Additional Information
- Subject Terms:
- Abstract: Since the release of ChatGPT at the end of November 2022, generative AI has been talked about endlessly in both the technical press and the mainstream media. Large language model technology has been heralded as many things: the disruption of the search engine, the end of the student essay, the bringer of disinformation ... but what does it mean for commercial providers of earlier iterations of natural language generation technology? We look at how the major players in the space are responding, and where things might go in the future. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Natural Language Engineering is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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