Generative Artificial Intelligence

The objective of Generative Artificial Intelligence: Concepts and Applications is to understand the basics of generative models, neural networks, and algorithms used in generating data. Generative AI stands at the forefront of artificial intelligence, redefining what machines are capable of. With artificial intelligence getting stronger each day, this book explores the practical applications across various domains, like art, music, and text generation. Moreover, generative AI extends its influence beyond creative endeavors to elevate interactive experiences that captivate audiences. The book examines real-world examples of how generative AI is being used in a variety of industries. The first section explores the fundamental concepts and ethical considerations of generative AI. In addition, the section also introduces machine learning algorithms and natural language processing. The second section introduces novel neural network designs and convolutional neural networks. The information provides dependable and precise methods for readers to learn. The third section delves into the latest learning-based methodologies to help researchers and farmers choose optimal algorithms for specific crop and hardware needs. Furthermore, this section evaluates significant advancements in revolutionizing online content analysis, offering real-time insights to content creation for more interactive processes.