• Medientyp: E-Book
  • Titel: How to Learn and Teach Economics with Large Language Models, Including GPT
  • Beteiligte: Cowen, Tyler [Verfasser:in]; Tabarrok, Alexander T. [Verfasser:in]
  • Erschienen: [S.l.]: SSRN, [2023]
  • Erschienen in: GMU Working Paper in Economics ; No. 23-18
  • Umfang: 1 Online-Ressource (41 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.4391863
  • Identifikator:
  • Schlagwörter: economics ; GPTs ; Large Language Models ; artificial intelligence ; teaching
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 17, 2023 erstellt
  • Beschreibung: GPTs, such as ChatGPT and Bing Chat, are capable of answering economics questions, solving specific economic models, creating exams, assisting with research, generating ideas, and enhancing writing, among other tasks. This paper highlights how these innovative tools differ from prior software and necessitate novel methods of interaction. By providing examples, tips, and guidance, we aim to optimize the use of GPTs and LLMs for learning and teaching economics effectively
  • Zugangsstatus: Freier Zugang