TEXT SUMMARIZATION USING GENERATIVE AI: A CASE STUDY IN BANKING INDUSTRY
Keywords:
Text Summarization, Generative AI, OpenAI, Lang Chain, Banking Industry, Language ModelAbstract
This paper presents a novel approach to text summarization utilizing Generative AI, specifically leveraging OpenAI and Lang Chain technologies. We introduce the architecture of the summarization application, demonstrate its implementation with OpenAI's Language Model (LLM), and elucidate the process of text segmentation and summarization. Furthermore, the study discusses the potential applications of text summarization in the banking industry, focusing on simplifying manual tasks such as summarizing multi-page loan applications or account opening forms. Finally, the paper addresses the importance of caution in deploying Generative AI solutions in the banking sector, emphasizing the need for robust security measures and ethical considerations.
References
N. K. Shukla et al., "Generative AI Approach to Distributed Summarization of Financial Narratives," 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023, pp. 2872-2876, doi: 10.1109/BigData59044.2023.10386313.
P. Raundale and H. Shekhar, "Analytical study of Text Summarization Techniques," 2021 Asian Conference on Innovation in Technology (ASIANCON), PUNE, India, 2021, pp. 1-4, doi: 10.1109/ASIANCON51346.2021.9544804.
Roy, Kunal & Mukherjee, Subhash & Dawn, Sujata. (2023). Automated Article Summarization using Artificial Intelligence Using React JS and Generative AI.
OpenAI. (n.d.). OpenAI Language Model. https://openai.com/language-models
Lang Chain. (n.d.). Lang Chain Documentation. https://langchain.com/documentation
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Copyright (c) 2024 Karthika Gopalakrishnan (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
