Raza, Khalid. editor. edt http://id.loc.gov/vocabulary/relators/edt Ahmad, Naeem. editor. edt http://id.loc.gov/vocabulary/relators/edt Singh, Deepak. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

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electronic resource

access XXIII, 463 p. 117 illus., 85 illus. in color. online resource. 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 harnessed to tackle complex real-world challenges. 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. edited by Khalid Raza, Naeem Ahmad, Deepak Singh. Computational intelligence Artificial intelligence Natural language processing (Computer science) Computational Intelligence Artificial Intelligence Natural Language Processing (NLP) Q342 9789819784608 https://doi.org/10.1007/978-981-97-8460-8 https://doi.org/10.1007/978-981-97-8460-8 241210 20251030114611.0 978-981-97-8460-8