A Sidecar Design for AI Safety
As generative AI deployment becomes increasingly prevalent in diverse applications, ensuring model safety and security is more paramount than ever. AutoAlign's Sidecar — a safety framework that is capable of scaling as different threats emerge and as new models advance — is the holistic architecture necessary to make models safe and keep them powerful.
Sidecar is an dynamic firewall that protects LLMs against security issues and biases while enhancing model performance.
Traditional AI safetyapproaches do not address the breadth and depth of LLM vulnerabilities, as wellas harms. In this technical report, AutoAlign presents a holistic approach toestablishing comprehensive LLM safety for all major LLMs, including their integrationinto NVIDIA's NeMo Guardrails.
Read to learn about:
- Sidecararchitecture's real-time protection capabilities
- Sidecar methodologiesthat reduce models' refusal rates
- How the sidecarapproach flexibly scales to support agent framework and future AI advances
