guardrails and GuardBench
The Python library for guardrail model evaluation complements the tool for adding guardrails to large language models, as one provides the means to implement guardrails while the other evaluates their effectiveness.
About guardrails
guardrails-ai/guardrails
Adding guardrails to large language models.
This tool helps developers build reliable AI applications by ensuring the output from large language models (LLMs) is safe, compliant, and correctly formatted. It takes an LLM's raw output and applies predefined 'guards' or validation rules to it, flagging or correcting issues like toxic language, competitor mentions, or incorrect data formats. The end user is an AI developer or engineer responsible for integrating LLMs into applications and maintaining their quality and safety.
About GuardBench
AmenRa/GuardBench
A Python library for guardrail models evaluation.
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