Features
Automated factor mining for quantitative finance
Multi-round code generation with self-evaluation
Automatic dataset adaptation and preprocessing
Model tuning and hyperparameter optimization
Reinforcement learning for iterative improvement
Open-source codebase with modular design
Support for Python-based ML frameworks
Experiment tracking and reproducibility
Integration with Jupyter notebooks
Documentation and tutorial notebooks
Community contribution via GitHub
Customizable task definitions
Logging and result visualization
Official LLM leaderboard and ranking
Battle Mode for side-by-side model comparison
Agent Mode for real-world agent evaluation
Multimodal Max for multimodal model testing
Code Arena with web development challenge categories
BullshitBench for nonsense detection evaluation
File upload for third-party AI processing
Public conversation sharing for community research
Leaderboard dataset publicly available
Monthly arena updates across product and research
Search functionality for models and conversations
Community voting on model responses
