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 )
|
 |
| |
 |
PDF |
| |
Viewed - 27 |
| |
Published on 2023-12-04 |
|