
BOOKS - Advanced Applications of Generative AI and Natural Language Processing Models

Advanced Applications of Generative AI and Natural Language Processing Models
Author: Ahmed J. Obaid, Bharat Bhushan, Muthmainnah S. PdI
Year: 2024
Pages: 505
Format: PDF
File size: 13.6 MB
Language: ENG

Year: 2024
Pages: 505
Format: PDF
File size: 13.6 MB
Language: ENG

The book "Advanced Applications of Generative AI and Natural Language Processing Models" explores the latest advancements in generative AI and natural language processing (NLP) models and their practical applications in various fields such as healthcare, finance, education, and entertainment. The book delves into the technical aspects of these models and provides insights into their potential uses and limitations. It also discusses the ethical implications of using these models in real-world scenarios. The book begins by introducing the basics of generative AI and NLP models, including their history, development, and current trends. It then delves into more advanced topics such as deep learning techniques, transfer learning, and multimodal learning. The book also covers the applications of these models in various industries, including chatbots, virtual assistants, and content generation. One of the key themes of the book is the need to study and understand the process of technology evolution. The author argues that this is crucial for the survival of humanity and the unification of people in a warring state. The book emphasizes the importance of developing a personal paradigm for perceiving the technological process of developing modern knowledge as the basis for the survival of humanity. This involves understanding the interconnectedness of technology, society, and culture and how they shape our lives and the world around us. The book also highlights the need for a comprehensive approach to the development and deployment of generative AI and NLP models. This includes considering the ethical implications of these models, such as privacy concerns, bias, and misuse.
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