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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM33260
Volume:
8 |
5 |
May 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Sports event simulation software represents a sophisticated computer tool engineered to replicate the multifaceted realm of sports organization and team management. In recent years, the integration of Language Models (LMs), particularly Large Language Models (LLMs), has significantly enhanced the depth and realism of these simulations. This paper explores the utilization of a Fine-Tuned LLM derived from LLama2, boasting 7 billion parameters, within a sports management simulation framework. The LLM serves a dual purpose, excelling in paraphrasing and functioning as a Question-Answering (QnA) bot. This abstract elucidates how the integration of LLM technology enriches user experience, fosters dynamic interactions, and provides a unique avenue for evaluating decision-making within sports management scenarios. Through a detailed examination of our system, this paper underscores the pivotal role played by LLM technology in advancing the sophistication and effectiveness of sports management simulations.
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Publication Date
12/31/45417
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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