LLM Guard
LLM Guard is a security toolkit that enhances the safety and security of interactions with Large Language Models (LLMs) by providing features like sanitization, harmful language detection, data leakage prevention, and resistance against prompt injection attacks.
LLM Guard
LLM Guard is a security toolkit that enhances the safety and security of interactions with Large Language Models (LLMs) by providing features like sanitization, harmful language detection, data leakage prevention, and resistance against prompt injection attacks.
LLM Guard Description
LLM Guard is a comprehensive tool designed to fortify the security of Large Language Models (LLMs) by offering sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks. It provides a range of features, including prompt scanners, anonymization, and output scanners, to ensure safe and secure interactions with LLMs. LLM Guard is an open-source solution that is easy to integrate and deploy in production environments, and is designed for easy integration and deployment in production environments. It is available for download and installation via pip, and is compatible with Python 3.9 or higher. The tool is constantly being improved and updated, and the community is encouraged to contribute to the package through bug reports, feature requests, and code contributions. For more information, please refer to the documentation and contribution guidelines.
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