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  1. Anwendungen mit GPT-4 und ChatGPT entwickeln
    intelligente Chatbots, Content-Generatoren und mehr erstellen
    Author: Caelen, Olivier; Blete, Marie-Alice
    Published: 2024; ©2024
    Publisher:  O'Reilly, Heidelberg

    Access:
    Aggregator (lizenzpflichtig)

    Location:
    Universitätsbibliothek Clausthal
    Inter-library loan:
    No inter-library loan

    Location:
    Universitätsbibliothek Ilmenau
    Signature:
    INF 2024
    Inter-library loan:
    No inter-library loan

    Location:
    Thüringer Universitäts- und Landesbibliothek
    Inter-library loan:
    No inter-library loan

    Location:
    Badische Landesbibliothek
    Inter-library loan:
    No inter-library loan

    Location:
    Universitätsbibliothek Kiel, Zentralbibliothek
    Inter-library loan:
    No inter-library loan

    Location:
    Hochschulbibliothek Friedensau
    Signature:
    Online-Ressource
    Inter-library loan:
    No inter-library loan

    Location:
    Hochschule Osnabrück, Bibliothek Campus Westerberg
    Inter-library loan:
    No inter-library loan

    Location:
    Universitätsbibliothek der Eberhard Karls Universität
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

    Location:
    Universität Ulm, Kommunikations- und Informationszentrum, Bibliotheksservices
    Inter-library loan:
    No inter-library loan
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Contributor: Demmig, Thomas (ÜbersetzerIn)
    Language: German
    Media type: Ebook
    Format: Online
    ISBN: 9783960107903; 9783960108061
    RVK Categories: ST 300 ; ST 306
    Edition: 1. Auflage, deutsche Ausgabe
    Subjects: Natural language generation (Computer science); Web applications; Chatbots; COM094000; COMPUTERS / Natural Language Processing; Natürliche Sprachen und maschinelle Übersetzung
    Other subjects: AI; APIs; KI; LLM; LangChain; Large Language Models; Machine learning; NLP; Natural Language Processing; OpenAI; Prompt Engineering; Python; Q&A; Transformer; attention; question answering; transfer learning
    Scope: 1 Online-Ressource (156 Seiten), Illustrationen, Diagramme