GPT-4 is here: what scientists think
Katharine Sanderson
Nature, 2023, vol. 615, issue 7954, 773-773
Abstract:
Researchers are excited about the AI — but many are frustrated that its underlying engineering is cloaked in secrecy.
Keywords: Computer science; Machine learning (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.nature.com/articles/d41586-023-00816-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:615:y:2023:i:7954:d:10.1038_d41586-023-00816-5
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/d41586-023-00816-5
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().