Financial Fraud Training Documentation# Overview Financial Fraud Detection — Conceptual Overview Getting Started Quick Start — End-to-End in 5 Steps Prerequisites Support Matrix Run Training Using Financial Fraud Training Data Organization Data Layout — Rigorous Reference Preparing Your Data Training Training Multi-GPU Training Advanced Training Options Automated Hyperparameter Optimisation — LLM Tuning + Grid Search Deployment Generated Artifact Layout Serving the Trained Model Inference Sending Inference Requests Supplementary Testing, Performance, and Troubleshooting Appendices Appendix A — Complete Config Schema Reference Appendix B — Glossary Appendix C — Default LLM Tuning Prompt Release Notes Versions
