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Foundation Models for Natural Language Processing Pre-trained Language Models Integrating Media

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This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm has been developed for tra...

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Bibliografische gegevens
Hoofdauteur:	Paaß, Gerhard (auth)
Andere auteurs:	Giesselbach, Sven (auth)
Formaat:	Elektronisch Hoofdstuk
Taal:	Engels
Gepubliceerd in:	Cham Springer Nature 2023
Reeks:	Artificial Intelligence: Foundations, Theory, and Algorithms
Onderwerpen:	Natural language & machine translation Computational linguistics Artificial intelligence Expert systems / knowledge-based systems Machine learning Pre-trained Language Models Deep Learning Natural Language Processing Transformer Models BERT GPT Attention Models Natural Language Understanding Multilingual Models Natural Language Generation Chatbot Foundation Models Information Extraction Text Generation
Online toegang:	DOAB: download the publication DOAB: description of the publication
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