OpenFinLLM Leaderboard Documentation

Introduction

  • Overview
  • Model List
  • Demo

Financial Question Trees

  • Overview
  • BloombergGPT Datasets
  • Information Extraction (IE)
  • Textual Analysis (TA)
  • Question Answering (QA)
  • Text Generation (TG)
  • Risk Management (RM)
  • Forecasting (FO)
  • Decision-Making (DM)
  • Other Datasets

Real-world Use Cases

  • Simple Questions
  • Efficient Legal Consultation Prep
  • Financial Document Analysis
  • AI-Driven Regulatory Compliance in Capital Markets
  • XBRL Analytics

Finagents

  • Tutor Agent
  • Search Agent
  • Trading Agent
  • XBRL Agent
  • ECC Analyzer

References

  • References

Tutorials

  • FPB Dataset Evaluation with O3-Mini
  • Benchmark DeepSeek on Financial Sentiment Analysis
  • Benchmark DeepSeek on Financial Questions with RAG
  • Benchmark DeepSeek on Financial Sentiment Analysis (few-shot)
  • Benchmark Llama-3.2 on Financial Sentiment Analysis (zeroshot)
  • Benchmark GPT-4o on Financial Sentiment Analysis (zeroshot)
  • Evaluate Deepseek using Framework

Experiment Settings

  • Install Cuda
  • Obtaining DeepSeek API Key
  • Get Model API keys

Industry Collaboration

  • FAQs
    • What unique challenges does finance put on the models?
    • Can we use a general purpose model or have to use a financially enhanced one?
    • What’s the motivation for fintuning a model with financial data?
    • When should I choose fine tuning and when should I choose RAG?
    • How to get high-quality financial data?
    • What is multimodal financial data?
    • Should I choose pretraining, fine tuning or calling APIs?
    • What’s the potential of reasoning models in finance?
  • Contributions
OpenFinLLM Leaderboard Documentation
  • FAQs
  • Edit on GitHub

FAQs

  • What unique challenges does finance put on the models?
  • Can we use a general purpose model or have to use a financially enhanced one?
  • What’s the motivation for fintuning a model with financial data?
  • When should I choose fine tuning and when should I choose RAG?
  • How to get high-quality financial data?
  • What is multimodal financial data?
  • Should I choose pretraining, fine tuning or calling APIs?
  • What’s the potential of reasoning models in finance?
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