Advanced applications of generative AI and natural language processing models:
The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of...
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| Weitere Verfasser: | , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, PA, USA
IGI Global
[2024]
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| Schriftenreihe: | Advances in computational intelligence and robotics (ACIR) book series
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 DE-1050 Volltext |
| Zusammenfassung: | The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies.Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Modelsequips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving. |
| Beschreibung: | 1 Online-Ressource (xxiv, 481 Seiten) Illustrationen |
| ISBN: | 9798369305041 |
| DOI: | 10.4018/979-8-3693-0502-7 |
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| institution | BVB |
| isbn | 9798369305041 |
| language | English |
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| spelling | Advanced applications of generative AI and natural language processing models Ahmed J. Obaid, Bharat Bhushan, Muthmainnah S. Pdl, S. Suman Rajest Advanced applications of generative artificial intelligence and natural language processing models Hershey, PA, USA IGI Global [2024] © 2024 1 Online-Ressource (xxiv, 481 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Advances in computational intelligence and robotics (ACIR) book series The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies.Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Modelsequips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving. Natural language processing (Computer science) Case studies Obaid, Ahmed J. ca. 20./21. Jh. (DE-588)1276205635 edt Bhushan, Bharat 1989- (DE-588)124621556X edt Muthmainnah (DE-588)1324211350 edt Rajest, S. Suman 1988- (DE-588)1310208174 edt Erscheint auch als Druck-Ausgabe, Hardcover 979-8-3693-0502-7 Erscheint auch als Druck-Ausgabe, Paperback 979-8-3693-0503-4 https://doi.org/10.4018/979-8-3693-0502-7 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Advanced applications of generative AI and natural language processing models Natural language processing (Computer science) Case studies |
| title | Advanced applications of generative AI and natural language processing models |
| title_alt | Advanced applications of generative artificial intelligence and natural language processing models |
| title_auth | Advanced applications of generative AI and natural language processing models |
| title_exact_search | Advanced applications of generative AI and natural language processing models |
| title_exact_search_txtP | Advanced applications of generative AI and natural language processing models |
| title_full | Advanced applications of generative AI and natural language processing models Ahmed J. Obaid, Bharat Bhushan, Muthmainnah S. Pdl, S. Suman Rajest |
| title_fullStr | Advanced applications of generative AI and natural language processing models Ahmed J. Obaid, Bharat Bhushan, Muthmainnah S. Pdl, S. Suman Rajest |
| title_full_unstemmed | Advanced applications of generative AI and natural language processing models Ahmed J. Obaid, Bharat Bhushan, Muthmainnah S. Pdl, S. Suman Rajest |
| title_short | Advanced applications of generative AI and natural language processing models |
| title_sort | advanced applications of generative ai and natural language processing models |
| topic | Natural language processing (Computer science) Case studies |
| topic_facet | Natural language processing (Computer science) Case studies |
| url | https://doi.org/10.4018/979-8-3693-0502-7 |
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