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Wissensrecherche und WissenChat

In: Wissenskommunikation, maschinelles Lernen und Sprachmodelle

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  • Werner Bünnagel

Abstract

Zusammenfassung Retrieval, Indizierung, eine umspannende Tokenisierung u.Ä. zeigen, wie wichtig es ist, ein unternehmensspezifisches Sprachmodell zu entwerfen. Datenbasis und Sprachmodell legen an dieser Stelle die Grundlage dafür, einen zielführenden Wissensdialog zu ermöglichen, der domänenspezifisches Wissen einbezieht. Das Large Language Model, das dann über all das gelegt wird, ist multifunktional (siehe Abb. 6.1). Ein Sprachmodell ist keine Maschine mit stereotypen Reaktionsmustern. Die Maschine ist immerhin lernfähig, wodurch sich ein Sprachmodell als KI-System anpasst sowie weiterentwickelt.

Suggested Citation

  • Werner Bünnagel, 2024. "Wissensrecherche und WissenChat," Springer Books, in: Wissenskommunikation, maschinelles Lernen und Sprachmodelle, chapter 0, pages 173-219, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-69913-3_6
    DOI: 10.1007/978-3-662-69913-3_6
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