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Advanced Applications of Generative AI and Natural Language Processing Models: Advancing Capabilities Safely in an Uncertain World
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Author(s): Shwetha Baliga (R.V. College of Engineering, India), Harshith K. Murthy (R.V. College of Engineering, India), Apoorv Sadhale (R.V. College of Engineering, India)and Dhruti Upadhyaya (R.V. College of Engineering, India)
Copyright: 2024
Pages: 18
Source title:
Advanced Applications of Generative AI and Natural Language Processing Models
Source Author(s)/Editor(s): Ahmed J. Obaid (University of Kufa, Iraq), Bharat Bhushan (School of Engineering and Technology, Sharda University, India), Muthmainnah S. (Universitas Al Asyariah Mandar, Indonesia)and S. Suman Rajest (Dhaanish Ahmed College of Engineering, India)
DOI: 10.4018/979-8-3693-0502-7.ch004
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Abstract
The discourse surrounding AI has sparked widespread discussions, with notable concerns arising from its current limitations. One such concern involves AI models struggling to understand the context of human requests, leading to unexpected or nonsensical outcomes. While instances like the conversation with ChatGPT may have garnered attention, they should be regarded as fascinating illustrations of the model's capabilities rather than indications of meaningful independence. In shaping perspectives on this subject, three noteworthy books have played a pivotal role: Superintelligence by Nick Bostrom, Life 3.0 by Max Tegmark, and A Thousand Brains by Jeff Hawkins. These books offer well-articulated and thought-provoking insights, contributing to the ongoing discussion surrounding AI. By exploring the risks, limitations, and potential implications of AI, it becomes evident that thoughtful consideration and proactive measures are necessary to navigate the evolving landscape of artificial intelligence.
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