

Foundation Models for Natural Language Processing by 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.-
Towards a Code of Ethics for Artificial Intelligence
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AI Ethics
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Machine Learning Safety
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Responsible Artificial Intelligence
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Non-prioritized Belief Change
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Large Language Models
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Multi-Modal Robotic Intelligence
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Heterogeneous Graph Representation Learning and Applications
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Coordination of Complex Sociotechnical Systems
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Subjective Logic
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Feature Selection for High-Dimensional Data
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Hybrid Metaheuristics
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Decision Diagrams for Optimization
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The Geometry of Uncertainty
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Neural Text-to-Speech Synthesis
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Bridging Constraint Satisfaction and Boolean Satisfiability
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Hypergraph Computation
| SKU | Unavailable |
| ISBN 13 | |
| ISBN 10 | |
| Title | Foundation Models for Natural Language Processing |
| Author | Sven Giesselbach |
| Series | |
| Condition | Unavailable |
| Binding Type | |
| Publisher | |
| Year published | |
| Number of pages | |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
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