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
Contributions

OpenFinLLM Leaderboard Documentation

FAQs
When should I choose fine tuning and when should I choose RAG?
Edit on GitHub

When should I choose fine tuning and when should I choose RAG?

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