Red Team Your LLM with BeaverTails
Blog post from Promptfoo
Ensuring the safe handling of harmful content by large language models (LLMs) is crucial for production deployments, and the guide outlines the use of Promptfoo, an open-source tool, to conduct red team evaluations using the BeaverTails dataset. This dataset, designed by PKU-Alignment, provides test prompts across 14 harm categories such as discrimination, violence, and misinformation, to evaluate how well models manage harmful content. The evaluation process involves creating configuration files and running tests on models using Promptfoo, which can be configured for multiple LLM providers like OpenAI and Anthropic. The guide emphasizes the importance of testing models within the context of their application-specific configurations to identify where additional safety measures may be needed. It also highlights the need for regular testing, comparison across different models, and the combination of automated testing with human review to maintain and improve safety layers in AI systems.