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

O papel e o futuro dos modelos de linguagem pré-treinados na indústria educacional

Author

Listed:
  • Fernandes, Bruno

Abstract

Os PLMs, ou modelos de linguagem pré-treinados, ganharam reconhecimento por seus resultados notáveis em tarefas de PNL e avaliações públicas. A integração dos PLMs na educação tem a capacidade de mudar a forma como o aprendizado e a instrução são conduzidos, facilitando para professores e alunos. No entanto, é crucial avaliar as vantagens e desvantagens dessa integração. Para maximizar os benefícios dos PLMs e minimizar quaisquer impactos negativos, é necessária uma abordagem prudente e deliberada, e este documento investiga os prós e contras do uso de PLMs na educação e oferece orientação para o progresso futuro.

Suggested Citation

  • Fernandes, Bruno, 2023. "O papel e o futuro dos modelos de linguagem pré-treinados na indústria educacional," OSF Preprints pxkmd, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:pxkmd
    DOI: 10.31219/osf.io/pxkmd
    as

    Download full text from publisher

    File URL: https://osf.io/download/63e3d86802c501029f47c86d/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/pxkmd?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

    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:pxkmd. 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.