July 2025
Intermediate to advanced
288 pages
7h 48m
English
Content preview from Generative AI
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1Introduction to Generative AI
Ritika Lath1*, Renuka Patwari1, Amit Aylani1 and Deepak Hajoary2
1Vidyalankar Institute of Technology, Mumbai, India
2Bodoland University, Assam, India
Abstract
Generative AI (Gen AI or GAI) is becoming a greater player in the creation and consumption of content with expected ramifications across several industries. In 2025, GAI will account for 10% of all data as compared to less than 1% currently according to Gartner’s 2022 Emerging Technologies and Trends Impact Radar. This machine learning subset can generate new forms of content, including text, audio, images, and video by using advanced neural networks like OpenAI’s GPT models. The introduction of ChatGPT, which was built on the basis of GPT-3.5 showed GAI’s capability in conducting coherent conversations, thus emphasizing its potential in automating the knowledge work delivery process. The applications for GAI are wide-ranging, from drug discovery to manufacturing, thereby challenging traditional notions of creativity as well as authorship. It is anticipated that as companies develop specialized large language models, GAI will eventually become an instrumental tool across different sectors, facilitating innovation and improving efficiency. Nonetheless, there are serious ethical, legal, and social issues that arise because it changes our manner of creating, interacting with, and comprehending various forms of content. In this chapter, we begin by examining Gen AI, starting from its definition, ...
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