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IBF-SLM Application Wiki

This wiki documents the design, development, and operational use of the IBF-SLM Application.

Purpose

The application supports impact-based forecasting workflows, reasoning-ready data preparation, small language model evaluation, and decision-support system development.

Main Components

• Data ingestion and validation
• Reasoning-ready corpus preparation
• 5-score classification workflow
• Model evaluation and comparison
• Dashboard and visualization interface
• Deployment and maintenance documentation

Key Documentation Pages

• System Architecture
• Installation Guide
• Dataset Preparation
• Reasoning Annotation Rules
• Model Evaluation Workflow
• API Documentation
• Deployment Guide
• Troubleshooting
• Development Roadmap

Development Status

This is an active prototype under development.