Paper Title
Comparative Study on LLM Model with use Cases

Abstract
As we are in the Artificial Intelligence era, on daily basis technology is evolving and new innovations are booming very frequently it started to give solutions for various industrial problems, resolving pain points and increasing productivity with better accuracy, here we going to discuss such an AI innovation which boomed all the industries productivity to next level which Large Language Models, LLMs are pre-trained deep learning models which can give solution to all Natural Language Processing business problems, In this paper we talk about different LLM models aiding its various use cases in the industry. The advent of large language models has significantly transformed the landscape of natural language processing. In this research paper, we undertake a comprehensive comparative study of cutting-edge language models, including GPT, BERTa, and PaLM. The primary objective is to uncover the strengths and limitations of these models, thereby providing valuable insights for researchers and practitioners seeking to harness their potential. Overall, our comparative analysis offers a comprehensive overview of the capabilities and challenges of large language models, supporting the development of more robust and reliable natural language processing applications while promoting transparency and ethical awareness in their usage. Keywords - Multiplexer. BERT, GPT-3.5, GPT-4, PaLM 2, Large Language Models

Author - Gopalakrishnanarumugam, Udhayakumar Mariyappan, Arpana Mahajan Selvakuberan Karuppasamy, Subhashini Lakshminarayanan

Published : Volume-10,Issue-9  ( Sep, 2023 )

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