The Fin AI

Purpose

The rapid advancement of AI in the financial sector brings both opportunities and challenges, particularly in the development and deployment of Large Language Models (LLMs). The Fin AI working group is established to spearhead open science, tooling, and model initiatives, ensuring responsible innovation and application in financial services.

Open Science

Financial AI Research

Open Tooling

Financial AI Development & Analysis

Open Models

Financial AI Application

Key Projects

Our key projects comprehensively cover the lifecycle of financial LLMs, from curating datasets and developing benchmarks to releasing models, creating application frameworks, and optimizing deployment systems. These efforts ensure innovation, transparency, and ethical standards in financial AI.

FinData

Curating comprehensive open-source datasets for pre-training, fine-tuning, and evaluating financial LLMs, addressing the need for diverse and robust data resources.

FinModel

Releasing a series of open-source financial LLMs including 1.5B, 8B, and 70B parameter models along with their checkpoints and training scripts, facilitating accessibility and innovation in model development.

Papers:
1. Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

FinCon

Building a multi-agent collaborative system equipped with human-like cognitive capabilities and quantified dynamic risk profiles, designed to optimize the quality of sequential, multi-turn financial decision-making processes. This innovative system leverages multi-modal financial data inputs, forging a robust link between intelligent system design and behavioral finance principles. It is versatile enough to be employed in a wide range of financial tasks.

Papers:

FinApp

Creating a federated learning-based application framework for reliable and trustworthy financial LLM applications, emphasizing privacy and security in financial AI deployments.

Papers:

Committee Member

Qianqian Xie

The Fin AI
Chief Scientist

Jimin Huang

The Fin AI
CEO & COO

Sophia Ananiadou

The University of Manchester
Archimedes AI Research Unit
Professor

Min Peng

Wuhan University,
Professor

Jian-Yun Nie

University of Montreal
Professor

Ion Androutsopoulos

Athens University of Economics and  Business
Archimedes AI Research Unit
Professor

Alejandro Lopez-lira

University of Florida
Assistant Professor

Steve Yang

Stevens Institute of Technology
Center for Research toward Advancing Financial Technologies (CRAFT)
Associate Professor

Benyou Wang

Chinese University of Hong Kong, Shenzhen

Assistant Professor

Eddie Zhao

University of Massachusetts Boston
Associate Professor

Jordan Suchow

Stevens Institute of Technology
Assistant Professor

Arman Cohan

Yale University
Assistant Professor

Hao Wang

Sichuan University
Associate Professor

Jiajia Huang

Nanjing Audit University

Associate Professor

Yanzhao Lai

Southwest Jiaotong University
Assitant Professor

Gang Hu

Yunnan Univeristy
Lecturer