July 2025
Intermediate to advanced
288 pages
7h 48m
English
Content preview from Generative AI
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9Revolutionizing Implementation: Cutting-Edge Tools and Resources in Generative AI
Blessing Takawira* and David Pooe
University of Johannesburg, Johannesburg, South Africa
Abstract
This chapter explores the transformative impact of advanced generative AI technologies across various domains. It delves into foundational theories and state-of-the-art tools such as GANs, VAEs, and neural network architectures, highlighting their capabilities in generating high-quality data and their applications in healthcare, bioinformatics, manufacturing, and natural language processing. The chapter emphasizes the importance of strategic implementation, addressing challenges related to computational costs, data privacy, ethical considerations, and model interpretability. Furthermore, it emphasizes the necessity of strong ethical frameworks to guarantee the responsible and fair utilization of AI technologies. By providing insights into current advancements and future research directions, the chapter aims to guide effective implementation and foster innovation, demonstrating generative AI’s interdisciplinary nature and potential to revolutionize various sectors.
Keywords: Generative AI, neural networks, transformers, implementation strategies, ethical AI, computational efficiency, AI applications
9.1 Introduction
Generative AI has become a groundbreaking technology revolutionizing multiple industries by autonomously producing new content, designs, and solutions. Advancements in computer power, ...
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