Authors: Hongyang Yang, Boyu Zhang, Neng Wang, Cheng Guo, Xiaoli Zhang, Likun Lin, Junlin Wang, Tianyu Zhou, Mao Guan, Runjia Zhang, Christina Dan Wang
Published on: May 23, 2024
Impact Score: 7.8
Arxiv code: Arxiv:2405.14767
Summary
- What is new: Introduction of FinRobot, an open-source AI agent platform with multiple financially specialized AI agents and layered architecture to handle sophisticated financial tasks.
- Why this is important: Barriers due to proprietary data and specialized knowledge limit AI’s application in financial tasks.
- What the research proposes: FinRobot, a multi-layered platform designed to break down financial problems, configure model application strategies, enhance model training with relevant data, and integrate various LLMs.
- Results: Enables both professionals and non-professionals to employ advanced AI techniques for financial analysis.
Technical Details
Technological frameworks used: Multi-layer architecture consisting of Financial AI Agents, Financial LLM Algorithms, LLMOps and DataOps, and Multi-source LLM Foundation Models
Models used: Large Language Models
Data used: Multiple relevant financial data sources
Potential Impact
Financial analysis sectors, fintech companies, and financial advisory firms
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