Competitors
387
Nemo Guardrails
Summary
Nemo Guardrails is a toolkit designed to ensure the safety and controllability of large language model (LLM) applications. It provides a framework for developers to implement safety measures and control mechanisms in their AI systems. The toolkit aims to address potential risks and ensure responsible AI deployment.
Rationale
The candidate, Nemo Guardrails, is described as a toolkit for controllable and safe LLM applications. This aligns with the 'Safety & Alignment Framework' feature, which focuses on tools and guidelines to mitigate risks across AI deployments. The name itself suggests a focus on safety and control, making it a reasonable match for this feature.
Home Pagehttps://arxiv.org

Features
Must Have
Safety & Alignment Framework
Other
None