by kennethleungty · Agent Tool · ★ 134
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Compilation of Real-World LLM & AI Agent Use Cases in Financial Services Context Large language models (LLMs) and AI agents are transforming financial services: from streamlining regulatory compliance and accelerating deal analysis to personalizing customer experiences and automating complex workflows across banking, trading, and asset management. This repository curates real-world LLM and agentic AI implementations in finance, showcasing enterprise platforms, specialized models, and integrated solutions deployed by leading financial institutions worldwide. Have a great example of LLMs in the financial services sector? Contribute by opening a pull request or submitting an issue. 📑 Table of Contents Retail & Commercial Banking Covers personal and business banking services—checking and savings accounts, mortgages, SME financing, and credit solutions. Also addresses central banking operations, digital transformation in traditional banks, and AI-driven advisory for both retail and corporate clients. Wealth & Asset Management Encompasses asset and wealth advisory, mutual funds, private equity, institutional asset management, robo-advisory, and portfolio m
| Stars | 134 |
| Forks | 23 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 52.9782052929191/100 |
| Last Updated | 2026-08-03 |
| Created | 2023-09-25 |
| Est. Tokens | ~28k |
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Finance-LLMs is Comprehensive Compilation of Real-World LLM & AI Agent Use Cases in Financial Services. It is categorized as a Agent Tool with 134 GitHub stars.
You can find installation instructions and usage details in the Finance-LLMs GitHub repository at github.com/kennethleungty/Finance-LLMs. The project has 134 stars and 23 forks, indicating an active community.
Finance-LLMs is released under the MIT license, making it free to use and modify according to the license terms.
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