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license: apache-2.0
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pipeline_tag: text-classification
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license: apache-2.0
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pipeline_tag: text-classification
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# LLM Harmful Checker
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A robust model fine-tuned on microsoft/mdeberta-v3-base for detecting harmful inputs to Large Language Models.
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## Overview
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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.
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The model can be deployed in multiple scenarios, such as:
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- AI system security protection
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- Content moderation
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- Customer service chatbots
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- Other scenarios requiring secure AI interactions
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By implementing this model, organizations can significantly enhance their AI systems' security and ensure user interactions remain compliant and safe.
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