USING LLMs IN FINANCIAL BUDGETING APPLICATIONS

Authors

  • Daniil Soloviov National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine
  • Heorhii Loutskii National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”., Ukraine https://orcid.org/0000-0002-3155-8301

Abstract

The article considers the potential of using large language models (LLMs) in financial budgeting systems. It will be examined how language models can be used to automate tasks, improve accuracy, improve efficiency, and increase transparency in financial budgeting. We will note some of the problems and limitations associated with the use of LLMs in financial budgeting and how these problems can be solved by applying and configuring a large language model for analysis, planning and cost control tasks in the financial field.

Published

2024-09-28

Issue

Section

Machine learning, Big Data