
Автор: Haruna Chiroma
Издательство: IOP Publishing
Серия: IOP Series in Next Generation Computing
Год: 2025
Страниц: 388
Язык: английский
Формат: pdf (true)
Размер: 43.6 MB
Emerging Artificial Intelligence: Integrating theories and practice is specifically tailored for researchers in AI who are eager to delve into the latest developments and explore the integration of theoretical concepts with practical applications. This book is an essential guide for researchers in AI seeking to bridge the gap between theory and practice, embark on a transformative journey through the latest advancements in AI and gain a comprehensive understanding of their real-world applications. After reading the book, the reader will be able to clearly understand the industrial applications of each emerging AI domain and appreciate the operations of AI in industry as well as society in general. LLMs exhibit distinct characteristics in comparison to traditional Machine Learning and Deep Learning approaches. Machine Learning typically operates with smaller datasets, and is often trained using shallow learning algorithms, which excel in performance with limited data.