ISSN :XXXX-XXX

Enhancing Efficiency and Innovation with Generative AI

Original Research (Published On: 18-Sep-2024 )
Enhancing Efficiency and Innovation with Generative AI
DOI : https://dx.doi.org/10.54364/JAIAI.2024.1105

Xunyu Pan

Adv. Artif. Intell. Mach. Learn., 1 (1):72-81

Xunyu Pan : Frostburg State University

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DOI: https://dx.doi.org/10.54364/JAIAI.2024.1105

Article History: Received on: 08-Aug-24, Accepted on: 10-Sep-24, Published on: 18-Sep-24

Corresponding Author: Xunyu Pan

Email: xpan@frostburg.edu

Citation: Xunyu Pan (2024). Enhancing Efficiency and Innovation with Generative AI. Adv. Artif. Intell. Mach. Learn., 1 (1 ):72-81


Abstract

    

Generative AI, leveraging Large Language Models (LLMs), has the potential to revolutionize human life by automating tasks, enhancing creativity, and improving efficiency. In this work, we introduce recent advancements and related studies in the field of generative AI, highlighting significant impacts across multiple domains such as business customization, healthcare, and software development. Additionally, several key trends in generative AI are discussed. The integration of multimodal AI, which combines text, speech, and images, has facilitated seamless interactions and enhanced user experiences. The growing adoption of generative AI in enterprises, driven by efficiency gains and innovation, underscores its potential to transform business operations. Furthermore, the regulatory landscape is evolving to address the ethical and legal challenges posed by AI, aiming to regulate high-risk AI systems and ensure transparency and accountability. This study explores three case studies that demonstrate the transformative capabilities of generative AI in routine work tasks, making them more efficient and innovative. These evaluations underscore the increasing importance of customized AI solutions in enhancing operational efficiency and meeting unique organizational needs, ultimately leading to significant improvements in both personal and professional settings.

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