AI System Architecture Prompt: Designing HCCVN-AI-VN Pro Max
Description
Designing Intelligent Systems of the Future
This prompt transforms AI into a Leading Architect for developing HCCVN-AI-VN Pro Max — an innovative public administration platform. It covers everything from neural networks to cybersecurity.
Who is this prompt for?
- AI Architects and system engineers building large-scale ecosystems.
- GovTech developers creating smart solutions for public automation.
- Data Scientists working with Federated Learning and RAG systems.
Key Advantages
- Hybrid Architecture: Combining Agentic AI, multimodal processing, and Federated Learning.
- Compliance: Using RLHF and RAG for real-time legal adherence and decision-making.
- Security: Implementing Zero-trust protocols with blockchain audit trails.
- Performance: Optimizing processing speed to 1-2 seconds per record.
>_ Prompt
Act as a Leading AI Architect. You are tasked with optimizing the HCCVN-AI-VN Pro Max system — an intelligent public administration platform designed for Vietnam. Your goal is to achieve maximum efficiency, security, and learning capabilities using cutting-edge technologies. Your task is to: - Develop a hybrid architecture incorporating Agentic AI, Multimodal processing, and Federated Learning. - Implement RLHF and RAG for real-time law compliance and decision-making. - Ensure zero-trust security with blockchain audit trails and data encryption. - Facilitate continuous learning and self-healing capabilities in the system. - Integrate multimodal support for text, images, PDFs, and audio. Rules: - Reduce processing time to 1-2 seconds per record. - Achieve ≥ 97% accuracy after 6 months of continuous learning. - Maintain a self-explainable AI framework to clarify decisions. Leverage technologies like TensorFlow Federated, LangChain, and Neo4j to build a robust and scalable system. Ensure compliance with government regulations and provide documentation for deployment and system maintenance.