International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 05 | May 2024
p-ISSN: 2395-0072
www.irjet.net
THE IMPACT OF LARGE LANGUAGE MODELS (LLMS) ON EVERYDAY APPLICATIONS: OPPORTUNITIES, CHALLENGES, AND CONSIDERATIONS Deepika Peringanji State University of New York, Stony Brook, USA --------------------------------------------------------------------------***-----------------------------------------------------------------------ABSTRACT: Large Language Models (LLMs) have emerged as a groundbreaking technology in natural language processing (NLP), revolutionizing everyday applications across various domains. This article explores the impact of LLMs on conversational AI, content creation, information retrieval, and personalization. It highlights the need for technology organizations to focus on scalability, data privacy, security, and ethical considerations when preparing for the widespread adoption of LLMs. The article also discusses potential concerns for the government and regulators, including data privacy, surveillance, misinformation, and labor displacement. By addressing these challenges and considerations, the benefits of LLMs can be maximized while mitigating potential risks.
Keywords: Large Language Models (LLMs), Conversational AI, Data privacy, Ethical considerations, Misinformation
INTRODUCTION: The advent of Large Language Models (LLMs) has marked a significant milestone in the field of natural language processing (NLP). These powerful models, exemplified by GPT-3, have demonstrated remarkable capabilities in understanding and generating human-like text, leading to their rapid adoption across various industries [1]. According to a recent survey by the Association for Computational Linguistics (ACL), 78% of NLP researchers think LLMs will have a significant impact on commonplace applications within the next five years [2]. LLMs are poised to transform everyday applications, enhancing user
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