{"podcast":{"title":"The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations","slug":"the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831","podcast_index_feed_id":7871831,"rss_url":"https://feeds.fexingo.com/business/the-data-science-podcast.xml","website_url":"https://www.fexingo.com/","image_url":"https://audio.fexingo.com/business/the-data-science-podcast/cover.png","author":"Fexingo","episode_count":118,"summary":"Lucas and Luna sit at a data-science workstation, two thin laptops open to scatter plots and clustering visualizations, and ask: what can we actually learn from the numbers? Each episode of The Data Science Podcast with Fexingo is a grounded, specific conversation about a single analytics problem or machine-learning method — from regularization in regression to the bias-variance trade-off in random forests. Lucas leads with a journalistic eye for how models are built and tested in the real world, citing actual case studies like how Netflix used matrix factorization for recommendations or how healthcare researchers apply survival analysis to clinical trials. Luna keeps the discussion honest, asking about data quality, feature engineering pitfalls, and whether a model’s accuracy actually translates to business value. They never resort to buzzwords: instead, they walk through the workflow from data collection to deployment, discussing trade-offs like interpretability versus performance. The show serves data scientists, analysts, and engineers who want to stay sharp on methods without the hype. Listeners walk away with a clearer understanding of why one algorithm beats another on a gi…","last_synced_at":"2026-07-19T08:17:23.323447+00:00","page_url":"https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831"},"episode":{"title":"How Data Scientists Build Guardrails for Large Language Models","slug":"how-data-scientists-build-guardrails-for-large-language-models","published_at":"2026-07-14T08:39:43+00:00","page_url":"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","show_page_url":"https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831","url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0109.mp3","audio_url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0109.mp3","summary":"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","meta_description":"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…","key_points":[],"chapters":[],"topics":[],"duration_seconds":653,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/episodes/how-data-scientists-build-guardrails-for-large-language-models/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"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","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}