# How Data Scientists Build Guardrails for Large Language Models

Page: https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/how-data-scientists-build-guardrails-for-large-language-models
Text version: https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/how-data-scientists-build-guardrails-for-large-language-models.md
Podcast: [The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations](https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831)
Published: 2026-07-14T08:39:43+00:00
Episode link: https://audio.fexingo.com/business/the-data-science-podcast/episode-0109.mp3
Audio file: https://audio.fexingo.com/business/the-data-science-podcast/episode-0109.mp3
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Duration seconds: 653

## Resource

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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