llm.create_chat_completion(
messages = "No input example has been defined for this model task."
)Insurance Underwriting Copilot - AI Model
Overview
The Insurance Underwriting Copilot is an AI model designed to assist insurance professionals in evaluating applications, summarizing medical reports, assessing risks, and ensuring regulatory compliance.
Built on DeepSeek R1 (14B) and fine-tuned for underwriting-specific tasks, this model provides structured, consistent, and unbiased insights to streamline decision-making.
Features
- 🔍 Risk Assessment – Identifies key risk factors, missing data, and inconsistencies.
- 📑 Medical Report Summarization – Converts complex medical jargon into structured insights.
- 📜 Regulatory Compliance – Ensures adherence to insurance laws and ethical guidelines.
- 💡 Context Awareness – Maintains references from prior interactions.
- 📂 Structured Responses – Outputs markdown-formatted responses for clarity.
License
This project is licensed under the MIT License – see the LICENSE file for details.
- Downloads last month
- 8
Hardware compatibility
Log In to add your hardware
We're not able to determine the quantization variants.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for get2sammy/samxai-insurance
Base model
deepseek-ai/DeepSeek-R1
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="get2sammy/samxai-insurance", filename="samxai-insurance-quantized.gguf", )