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} You deploy an LLM as a history assistant and it cheerfully writes Python. You ship a support bot and someone talks it into selling a Tahoe for a dollar. General-purpose models will answer anything, leak anything, and follow whatever the last person in the conversation told them to do. This session covers the layer that sits between your users and your model… more