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Financial Fraud Training Container
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Financial Fraud Training Container
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Table of Contents
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
Release Notes
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Release Notes
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Versions
V3.0.0
V2.0.0
V1.0.0
