IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-658-47288-7_3.html
   My bibliography  Save this book chapter

Unter der Oberfläche: Technische Grundlagen Generativer KI

In: KI mit Köpfchen

Author

Listed:
  • Dennis Gründel

    (Eraneos Analytics Germany)

  • Marc Lämmel

    (Eraneos Analytics Germany)

Abstract

Zusammenfassung Generative KI markiert eine neue Ära der Interaktion mit künstlicher Intelligenz. Insbesondere große Sprachmodelle (LLMs) ermöglichen die Generierung origineller Inhalte, eröffnen neue Anwendungsfelder, vor allem im Bereich textbasierter Interaktionen, und sind heute zentrale Bausteine vieler Anwendungen. Das Kapitel beleuchtet die Verarbeitung natürlicher Sprache, Design und Funktionsweise von LLMs, und zeigt verschiedene Strategien auf, um diese Technologie in professionellen Anwendungen zu nutzen. Zu den besprochenen Lösungsstrategien gehören Prompt Engineering, Retrieval-Augmented Generation, Finetuning und der Einsatz autonomer KI-Agenten. Empfehlungen aus der Praxis und ein kurzer Ausblick auf aktuelle und zukünftige Trends runden das Kapitel ab.

Suggested Citation

  • Dennis Gründel & Marc Lämmel, 2025. "Unter der Oberfläche: Technische Grundlagen Generativer KI," Springer Books, in: Christian Kuß & Dominic von Proeck (ed.), KI mit Köpfchen, chapter 3, pages 39-55, Springer.
  • Handle: RePEc:spr:sprchp:978-3-658-47288-7_3
    DOI: 10.1007/978-3-658-47288-7_3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:sprchp:978-3-658-47288-7_3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.