LLM Harmful Checker

A robust model fine-tuned on microsoft/mdeberta-v3-base for detecting harmful inputs to Large Language Models.

Overview

LLM Harmful Checker is an AI model specifically designed to detect potentially harmful content in user inputs. Built upon microsoft/mdeberta-v3-base through fine-tuning, this model effectively identifies various types of harmful inputs during AI system interactions, including adversarial prompts and malicious instructions.

The model can be deployed in multiple scenarios, such as:

AI system security protection
Content moderation
Customer service chatbots
Other scenarios requiring secure AI interactions

By implementing this model, organizations can significantly enhance their AI systems' security and ensure user interactions remain compliant and safe.