How do you implement safety filtering in large-scale LLM systems?

Safety filtering uses pre-processing classifiers, post-processing validation, and real-time moderation models.

Large-scale LLM systems implement multi-layer safety: input filtering (detect harmful prompts), inference-time constraints (system prompts and guardrails), and output moderation (toxicity, bias, PII detection). These layers reduce risk of harmful or non-compliant outputs while maintaining usability.