Domain Specific Adaptation of an Open-Source LLM (Large Language Model)

Abstract

Abstract: This research project delves into the investigation of the integration of Large Language Models (LLMs), exemplified by models such as ChatGPT, within the realm of domain-specific conversation applications, with a focus on discerning their substantive impact on user interactions within specialized contexts. The abstract conscientiously recognizes the rapid strides in LLM development and their intrinsic potential to augment domain-specific applications. A meticulous literature review is conducted to discern and expound upon prevailing trends and findings in LLM application, establishing a robust foundation for the ensuing methodology of the study. The research employs a thorough and comprehensive implementation strategy, strategically addressing the multifaceted challenges encountered during the intricate process of LLM integration, while simultaneously harnessing performance metrics and soliciting user feedback to ensure a nuanced and holistic assessment. The ensuing discussion section meticulously scrutinizes the obtained results, thereby providing profound insights into the farreaching implications of LLM integration in domain-specific settings, thereby making a notable contribution to the burgeoning field of conversational AI. In summary, this research not only elucidates the practical nuances of LLM utilization but also delineates potential avenues for further exploration and development within this dynamic field.