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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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Bibliographic Details
Main Author: Paaß, Gerhard (auth)
Other Authors: Giesselbach, Sven (auth)
Format: Electronic Book Chapter
Language:English
Published: Cham Springer Nature 2023
Series:Artificial Intelligence: Foundations, Theory, and Algorithms
Subjects:
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 Access:DOAB: download the publication
DOAB: description of the publication
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