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It is an open-source toolkit for monitoring Large Language Models (LLMs). It extracts signals from prompts & responses, ensuring safety & security. | Discover, save, download and generate high-performing ads on TikTok, Facebook, YouTube, and more with Ad Library - your all-in-one ad library for winning ads. |
Text quality;
Relevance metrics;
Sentiment analysis;
A comprehensive tool for LLM observability | Ad Library |
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GitHub Forks 70 | GitHub Forks - |
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It is a robust static analysis framework for validating that LLM-generated structured output is safe. It currently supports SQL.

It is a self-hardening prompt injection detector. It is designed to protect AI applications from prompt injection (PI) attacks through a multi-stage defense.

It 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 ensures that your interactions with LLMs remain safe and secure.

It is an open-source Python package for specifying structure and type, validating and correcting the outputs of large language models (LLMs).