In this session, we’ll enhance the safety of Sarvam, a sovereign Indian LLM, running on RHOAI / OpenDataHub with NeMo Guardrails through the TrustyAI operator. The idea is simple: Sarvam already knows. When you give it sensitive data, it reasons that the information is private. But knowing is not the same as enforcing. The model behaves differently on different runs, keeps no audit trail, and sti… more

{Describe your session in 2 paragraphs} A model deployed as a history assistant will still happily write you Python. Deploy an LLM for one business role and it has no idea that role exists. The usual fix is a system prompt — but a prompt is a request, not a constraint. “Only answer history questions” is an instruction the model can ignore. more