• Medientyp: E-Book
  • Titel: Language Models and Cognitive Automation for Economic Research
  • Beteiligte: Korinek, Anton [Verfasser:in]
  • Körperschaft: National Bureau of Economic Research
  • Erschienen: Cambridge, Mass: National Bureau of Economic Research, February 2023
  • Erschienen in: NBER working paper series ; no. w30957
  • Umfang: 1 Online-Ressource; illustrations (black and white)
  • Sprache: Englisch
  • Schlagwörter: Künstliche Intelligenz ; Wirtschaftsforschung ; Wissenschaftliches Arbeiten ; Wissenschaftliche Publikation ; Wirtschaftswissenschaft ; General ; Economic Methodology ; Labor Demand ; Innovation; Research and Development; Technological Change; Intellectual Property Rights ; Arbeitspapier ; Graue Literatur
  • Reproduktionsnotiz: Hardcopy version available to institutional subscribers
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  • Beschreibung: Large language models (LLMs) such as ChatGPT have the potential to revolutionize research in economics and other disciplines. I describe 25 use cases along six domains in which LLMs are starting to become useful as both research assistants and tutors: ideation, writing, background research, data analysis, coding, and mathematical derivations. I provide general instructions and demonstrate specific examples for how to take advantage of each of these, classifying the LLM capabilities from experimental to highly useful. I hypothesize that ongoing advances will improve the performance of LLMs across all of these domains, and that economic researchers who take advantage of LLMs to automate micro tasks will become significantly more productive. Finally, I speculate on the longer-term implications of cognitive automation via LLMs for economic research
  • Zugangsstatus: Freier Zugang