Practical LLM Guardrails: Hallucination, Topic, PII, and Competitor Controls
Introduction The guardrails course becomes most useful when it moves from a simple keyword detector to specialized validators. The material covers four practical controls: hallucination detection with Natural Language Inference, topic restriction with zero-shot classification, PII detection with Microsoft Presidio, competitor mention detection with exact matching, NER, and vector similarity. Each control protects a different failure mode. Together they show the right engineering pattern: use small, task-specific models and validators around the LLM instead of expecting the LLM to police itself. ...