NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
- Updated
Sep 17, 2026 - Python
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
👷 TypeScript's largest type utility library
🔐CNCF Security Technical Advisory Group -- secure access, policy control, privacy, auditing, explainability and more!
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
List of resources about programming practices for writing safety-critical software.
The Domain-Correct Quantities and Units Library for C++ — full quantity kind safety, ISO 80000 compliant, C++29 standardization candidate.
保护你的浏览器指纹 | Protect Your Browser Fingerprints | Chrome, Edge, Firefox | 扩展 / Extension
☕ Latte: the safest & truly intuitive templates for PHP. Engine for those who want the most secure PHP sites.
Chinese safety prompts for evaluating and improving the safety of LLMs. 中文安全prompts,用于评估和提升大模型的安全性。
Open-source vulnerability disclosure and bug bounty program database
[EMNLP 2024 Demo] MarkLLM: An Open-Source Toolkit for LLM Watermarking
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
The repository is for safe reinforcement learning baselines.
Web 端反爬技术方案