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Record Nr. |
UNINA9910917190203321 |
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Autore |
Raza Khalid |
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Titolo |
Generative AI: Current Trends and Applications / / edited by Khalid Raza, Naeem Ahmad, Deepak Singh |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (0 pages) |
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Collana |
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Studies in Computational Intelligence, , 1860-9503 ; ; 1177 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Natural language processing (Computer science) |
Computational Intelligence |
Artificial Intelligence |
Natural Language Processing (NLP) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Generative AI Fundamentals and Evolution -- Fundamentals of Encoders and Decoders in Generative AI -- Generative AI Applications Development using OpenAI -- Generative AI for Smart Data Analytics -- Detection of Real vs Fake Images on Social Media through Generative Adversarial Networks. |
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Sommario/riassunto |
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This book focuses on the latest advancements in generative AI, including state-of-the-art techniques and models that are pushing the boundaries of what is possible. It covers recent developments in areas such as generative AI models, transfer learning, and natural language processing (NLP) highlighting their potential to revolutionize content generation and creative applications including OpenAI, LangChain, NLTK, and their practical implementations across diverse domains. The volume provides insights into emerging research areas, novel architectures, and innovative approaches in generative AI, giving searchers a glimpse into the exciting future of the field. The aim is to offer readers a deep understanding of generative AI and how it can be |
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harnessed to tackle complex real-world challenges. |
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