How Data Scientists Build Guardrails for Large Language Models

What this episode covers

Episode 109 of The Data Science Podcast explores how data scientists are building guardrails to keep large language models safe, accurate, and on-brand in production. Lucas and Luna walk through a real case: a fintech chatbot that hallucinated a fake regulatory filing. They break down the guardrails stack — input validation, output moderation, and continuous monitoring — using concrete examples like NVIDIA's NeMo Guardrails and open-source tools like Guardrails AI. They also discuss the tension between user experience and safety, and why guardrails are the new CI/CD for LLM ops. If you're deploying generative AI, this episode gives you a practical framework for catching failures before they reach users. #LLMGuardrails #AISafety #GenerativeAI #DataScience #MachineLearning #NVIDIANeMo #GuardrailsAI #LLMOps #AIHallucination #PromptInjection #Fintech #Chatbot #ModelGovernance #AIDetection #MLProduction #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

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