GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models

doi:10.48550/arXiv.2303.10130

Exporting BibTeX record

@ARTICLE{2023arXiv230310130E,
       author = {{Eloundou}, Tyna and {Manning}, Sam and {Mishkin}, Pamela and {Rock}, Daniel},
        title = "{GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models}",
      journal = {arXiv e-prints},
     keywords = {Economics - General Economics, Computer Science - Artificial Intelligence, Computer Science - Computers and Society},
         year = 2023,
        month = mar,
          eid = {arXiv:2303.10130},
        pages = {arXiv:2303.10130},
          doi = {10.48550/arXiv.2303.10130},
archivePrefix = {arXiv},
       eprint = {2303.10130},
 primaryClass = {econ.GN},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2023arXiv230310130E},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

full text sources

Preprint

ADS