MASCRDM: Multi-Agent System for Compliance Risk Detection and Mitigation in Training Process of Large Language Models

TL;DR

MASCRDM is a multi-agent system designed to enhance compliance risk detection and mitigation during the training of large language models (LLMs). It effectively improves compliance while maintaining semantic performance, addressing critical issues in existing methods.

Key Takeaways

• Adopt MASCRDM for real-time compliance monitoring in LLM training.
• Utilize compliance rules based on AI laws for better risk management.
• Deconstruct LLMs to identify key compliance nodes effectively.
• Conduct experiments to evaluate discrimination and bias reduction.