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Foundation Models for Natural Language Processing: Pre-Trained Language Models Integrating Media
Hardcover
Series: Artificial Intelligence: Foundations, Theory, and Algorithms
ISBN13: 9783031231896
Publisher: Springer Nature
Published: May 24 2023
Pages: 436
Weight: 1.79
Height: 1.00 Width: 6.14 Depth: 9.21
Language: English
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 training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models.
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