Designing an artificial intelligence-enabled large language model for financial decisions
- Title
- Designing an artificial intelligence-enabled large language model for financial decisions
- Creator
- Saxena A.; Rishi B.
- Description
- Purpose: Artificial intelligence (AI) has profoundly reshaped financial decision-making, introducing a paradigm shift in how institutions and individuals navigate the complex finance landscape. The study evaluates the significant impact of integrating advanced AI and large language models (LLMs) in financial decision analytics. Design/methodology/approach: The study offers FinSageNet, a novel framework designed and tested to harness the potential of LLMs in financial decisions. The framework excels in handling and analyzing large volumes of numerical and textual data through advanced data mining techniques. Findings: FinSageNet demonstrates exceptional text summarization capabilities, outperforming models like FLAN and GPT-3.5 in Rouge score metrics. The proposed model has shown more accuracy than generic models. Originality/value: The study emphasizes the significance of consistently updating models and adopting a comprehensive approach to integrating AI into financial decisions. This study improves our understanding of how artificial intelligence transforms financial analytics and decision-making processes. 2025, Emerald Publishing Limited.
- Source
- Management Decision
- Date
- 2025-01-01
- Publisher
- Emerald Publishing
- Subject
- Artificial intelligence; Financial analytics; Financial decision; FinSageNet; Large language models
- Coverage
- Saxena A., School of Business and Management, Christ University, Bangalore, India; Rishi B., School of Management and Entrepreneurship, Shiv Nadar Institution of Eminence Deemed to be University, Gautam Buddha Nagar, India
- Rights
- Restricted Access
- Relation
- ISSN: 251747
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Saxena A.; Rishi B., “Designing an artificial intelligence-enabled large language model for financial decisions,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/12546.