IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/t2wgy.html
   My bibliography  Save this paper

Nutzen Sie vortrainierte große Sprachmodelle für die moderne Bildung

Author

Listed:
  • Smith, Kaisy

Abstract

Vortrainierte Sprachmodelle (PLMs) sind für ihre außergewöhnliche Leistung bei NLP-Aufgaben und -Benchmarks weithin anerkannt. Die Einbeziehung von PLMs in die Bildung hat das Potenzial, das Lernen und Lehren zu revolutionieren, aber es ist wichtig, sowohl die Vor- als auch die Nachteile zu berücksichtigen. Ein verantwortungsvoller und vorsichtiger Ansatz ist erforderlich, um die Vorteile von PLMs voll auszuschöpfen und negative Auswirkungen zu minimieren. Dieses Whitepaper untersucht die Vor- und Nachteile des Einsatzes von PLMs in der Bildung und bietet Leitlinien für zukünftige Fortschritte.

Suggested Citation

  • Smith, Kaisy, 2023. "Nutzen Sie vortrainierte große Sprachmodelle für die moderne Bildung," OSF Preprints t2wgy, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:t2wgy
    DOI: 10.31219/osf.io/t2wgy
    as

    Download full text from publisher

    File URL: https://osf.io/download/63e3cf88197ebb02e1a14e3d/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/t2wgy?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:osfxxx:t2wgy. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.