Название: Artificial Intelligence: Machine Learning, Convolutional Neural Networks and Large Language Models
Автор: Leonidas Deligiannidis, George Dimitoglou, Hamid R. Arabnia
Издательство: De Gruyter
Год: 2024
Страниц: 442
Язык: английский
Формат: pdf (true), epub
Размер: 27.5 MB

Artificial Intelligence (AI) revolves around creating and utilizing intelligent machines through science and engineering. This book delves into the theory and practical applications of Computer Science methods that incorporate AI across many domains. It covers techniques such as Machine Learning (ML), Convolutional Neural Networks (CNN), Deep Learning (DL), and Large Language Models (LLM) to tackle complex issues and overcome various challenges.

From the Computer Science perspective, the core of Artificial Intelligence (AI) includes Machine Learning. In recent years the growth in utilizing AI applications has been exponential. One reason for this exponential growth has been the advancement in Machine Learning; many give credit for this advancement to Deep Learning (via Convolution Neural Networks, CNN) and new applications in Large Language Models (LLMs). This book covers the emerging trends in AI, Machine Learning, CNNs, and LLMs. Machine Learning methods heavily rely on large datasets. Although the topic of Data Science is not explicitly addressed in this book, many algorithms and methodologies that appear in this book utilize Data Science methodologies.

- Provides a comprehensive overview of the latest research in the field, as well as links to relevant references.
- Discusses Machine Learning (ML) and Large Language Models including GPT.
- Examines novel applications of AI in various domains.




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