The tutorial demonstrates a NeMo Guardrails pipeline that controls an LLM financial assistant (FinBot) built on gpt-4o-mini across the full request lifecycle. It layers multiple safety controls: blocking card numbers and SSNs before they reach the model, LLM-based input and output checks, retrieval filtering, account-number masking, topic restrictions, and policy-gated money transfers. It also adds rail-activation tracing, token accounting, and a red-team coverage report to measure safety and computational cost.
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