Foundation Models for Natural Language Processing : Pre-trained Language Models Integrating Media / / by Gerhard Paass, Sven Giesselbach.
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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| Superior document: | Artificial Intelligence: Foundations, Theory, and Algorithms, |
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| VerfasserIn: | |
| TeilnehmendeR: | |
| Place / Publishing House: | Cham : : Springer International Publishing :, Imprint: Springer,, 2023. |
| Year of Publication: | 2023 |
| Edition: | 1st ed. 2023. |
| Language: | English |
| Series: | Artificial intelligence (Berlin, Germany)
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| Physical Description: | 1 online resource (xviii, 448 pages) |
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Table of Contents:
- 1. Introduction
- 2. Pre-trained Language Models
- 3. Improving Pre-trained Language Models
- 4. Knowledge Acquired by Foundation Models
- 5. Foundation Models for Information Extraction
- 6. Foundation Models for Text Generation
- 7. Foundation Models for Speech, Images, Videos, and Control
- 8. Summary and Outlook.