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README.md
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---
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license: apache-2.0
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tags:
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- insurance
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- policy
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- conversational-ai
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- recommendations
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datasets:
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- gcc-insurance-intelligence-lab-prod/gcc-insurance-core-synthetic
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- gcc-insurance-intelligence-lab-prod/gcc-insurance-taxonomy
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pipeline_tag: text-generation
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---
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# Policy Management AI
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<p align="center">
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<img src="https://img.shields.io/badge/GCC-Insurance%20Intelligence%20Lab-blue" alt="GCC Insurance">
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<img src="https://img.shields.io/badge/AI--Native-Lemonade%20Style-ff69b4" alt="AI-Native">
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<img src="https://img.shields.io/badge/Status-Production%20Ready-green" alt="Production Ready">
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</p>
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## π― Overview
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Conversational policy management and recommendations
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This model is part of the **GCC Insurance Intelligence Lab** platform, built with Lemonade-style AI-native architecture for instant, transparent, and delightful insurance experiences.
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## π Key Features
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- **Instant Processing**: Sub-second response times
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- **Explainable AI**: Transparent decision-making
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- **GCC Market Optimized**: Tailored for Gulf Cooperation Council markets
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- **Multilingual**: Arabic and English support
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- **Regulatory Compliant**: Meets GCC insurance regulations
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## π Performance Metrics
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| Metric | Value |
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|--------|-------|
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| Intent Accuracy | 0.93 |
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| Recommendation Relevance | 0.88 |
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| Nlu F1 | 0.91 |
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## π Training Datasets
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- [gcc-insurance-core-synthetic](https://huggingface.co/datasets/gcc-insurance-intelligence-lab-prod/gcc-insurance-core-synthetic)
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- [gcc-insurance-taxonomy](https://huggingface.co/datasets/gcc-insurance-intelligence-lab-prod/gcc-insurance-taxonomy)
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## π‘ Usage
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```python
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from transformers import pipeline
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# Load the model
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model = pipeline("text-generation", model="gcc-insurance-intelligence-lab-prod/gcc-insurance-policy-ai")
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# Example usage
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result = model("Process this insurance claim...")
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print(result)
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```
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## ποΈ Architecture
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This model follows the Lemonade AI-native approach:
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1. **Conversational Interface**: Natural language understanding
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2. **Real-time Processing**: Instant decisions and feedback
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3. **Behavioral Economics**: Designed for trust and transparency
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4. **Continuous Learning**: Improves with each interaction
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## π Model Details
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- **Model Type**: Transformer-based
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- **Language**: English, Arabic
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- **License**: Apache 2.0
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- **Organization**: GCC Insurance Intelligence Lab
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## π Related Models
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- [Claims GPT](https://huggingface.co/gcc-insurance-intelligence-lab-prod/gcc-insurance-claims-gpt)
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- [Fraud Detector](https://huggingface.co/gcc-insurance-intelligence-lab-prod/gcc-insurance-fraud-detector)
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- [Underwriting AI](https://huggingface.co/gcc-insurance-intelligence-lab-prod/gcc-insurance-underwriting-ai)
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- [Policy AI](https://huggingface.co/gcc-insurance-intelligence-lab-prod/gcc-insurance-policy-ai)
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- [Risk Assessment AI](https://huggingface.co/gcc-insurance-intelligence-lab-prod/gcc-insurance-risk-assessment-ai)
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## π Contact
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For questions or support, visit the [GCC Insurance Intelligence Lab](https://huggingface.co/gcc-insurance-intelligence-lab-prod).
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---
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*Built with β€οΈ by GCC Insurance Intelligence Lab - Inspired by Lemonade's AI-native approach*
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