An Introduction to AI Secure LLM Safety Leaderboard

1. 1Explore the AI Secure LLM Safety Leaderboard on Hugging Face's blog
2. 2Read the paper on red-teaming evaluation for LLM safety
3. 3Submit your model for evaluation on the leaderboard
4. 4Review the citation and related resources for further information

Data scientists, AI engineers, and researchers can use this leaderboard to assess and improve the safety of their LLMs, while policymakers and regulators can utilize it to inform their decisions on AI safety standards

💡 The AI Secure LLM Safety Leaderboard provides a standardized framework for evaluating the safety of large language models, enabling data scientists and policymakers to make informed decisions on AI safety

🚀 Introducing the AI Secure LLM Safety Leaderboard! Evaluate and compare the safety of large language models with Hugging Face's new leaderboard 🤖