Serverless Architecture in LLMs: Transforming the Financial Industry's AI Landscape
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Informative Article | Financial Management | India | Volume 12 Issue 10, October 2023 | Popularity: 5.1 / 10


     

Serverless Architecture in LLMs: Transforming the Financial Industry's AI Landscape

Satish Kathiriya, Narayana Challla, Siva Karthik Devineni


Abstract: This paper explores the transformative impact of serverless architecture on Large Language Models (LLMs) in the financial industry. We discuss how serverless computing revolutionizes AI applications in finance by providing scalable, efficient, and cost - effective solutions. The paper delves into the integration of LLMs in financial operations, emphasizing their role in automating complex processes, enhancing decision - making, and improving customer interaction. We discuss the advantages of serverless technology, such as reduced infrastructure costs and simplified management, which align with the computationally intensive nature of LLMs. Furthermore, we address the challenges and potential solutions in implementing serverless architecture within the financial sector. Through this exploration, the paper highlights how serverless computing, combined with the advanced capabilities of LLMs, is setting new standards in financial automation and intelligence.


Keywords: Serverless Architecture, Large Language models (LLM), Financial Industry Automation, Cloud Computing, AI in Finance, Scalable Computing Solutions, Cost Efficiency in AI, Advanced Data Processing, AI - Driven Customer Interaction


Edition: Volume 12 Issue 10, October 2023


Pages: 2131 - 2136


DOI: https://www.doi.org/10.21275/SR24302224043



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Satish Kathiriya, Narayana Challla, Siva Karthik Devineni, "Serverless Architecture in LLMs: Transforming the Financial Industry's AI Landscape", International Journal of Science and Research (IJSR), Volume 12 Issue 10, October 2023, pp. 2131-2136, https://www.ijsr.net/getabstract.php?paperid=SR24302224043, DOI: https://www.doi.org/10.21275/SR24302224043