AI in Regulatory Compliance: Revolutionizing Training with Fine - Tuned Language Models for Banking and Payment Systems

Prajwalkumar B Bhatkar

Abstract: This article examines the use of fine tuned small Language Learning Models LLMs to develop AIdriven regulatory compliance training tailored for banking and payment systems. It discusses the integration of industry specific regulations, internal policies, and best practices into training modules, with a focus on personalized learning, interactive simulations, and real time updates. The proposed solution aims to improve training efficiency, ensure adherence to regulations, and deliver scalable, cost effective compliance training solutions. Additionally, the article addresses potential challenges, including data quality, model interpretability, and ethical considerations in AI deployment for regulatory training.

Keywords: Regulatory compliance, Language Learning Models (LLMs), AI - driven training, Banking, Payment systems, Fine - tuning, Personalized learning, Interactive modules, Real - time updates

How to Cite?: Prajwalkumar B Bhatkar, "AI in Regulatory Compliance: Revolutionizing Training with Fine - Tuned Language Models for Banking and Payment Systems", Volume 13 Issue 8, August 2024, International Journal of Science and Research (IJSR), Pages: 910-913, https://www.ijsr.net/getabstract.php?paperid=SR24812093543, DOI: https://dx.doi.org/10.21275/SR24812093543