Watch

Podcasts, seminars, lectures, and conference presentations to learn more about Cleanlab.


The Truth About AI, Creativity & Human Intelligence \| Curtis Northcutt, CleanLab](https://www.youtube.com/watch?v=-UtZBfEUt-g) Designing the Trust Layer for AI with Dr. Curtis Northcutt](https://www.youtube.com/watch?v=bw_rpApXOUc) How Cleanlab Makes LLMs Safe: Catching AI Mistakes Before They Go Viral](https://youtu.be/7iaCLi0Kdd4?feature=shared) Enhancing AI System Reliability with Trustworthiness Scores](https://www.youtube.com/watch?v=nq0zF-gLgYg&list=PLK_14woo6h5Vv3I71yHxfAAMA-qMZHTR8&index=20) ML Ops World \| Closing the Reliability Gap: Practical Strategies with Guarantees for Trustworthy GenAI](https://www.youtube.com/watch?v=R9HUZjEYZqA&list=PLlcxuf1qTrwAG77PJA-aThGQoghbMDfZU&index=6) The Tech Trek Podcast: From Rural Roots to AI Founder](https://www.linkedin.com/posts/amirbormand_founder-ceo-growth-activity-7287572366300168192-AW-x?utm_source=share&utm_medium=member_desktop) How Curtis Northcutt Closed a $25M Series A for Cleanlab](https://podcasts.apple.com/us/podcast/how-curtis-northcutt-closed-a-%2425m-series-a/id1535885510?i=1000674820650) Practically Intelligent: Data You Can Trust: Revolutionizing Data Preparation and Curation](https://www.youtube.com/watch?v=ow0KQLYWh-E) Cleanlab: AI to Find and Fix Errors in ML Datasets](https://www.youtube.com/watch?v=BnOTv0f9Msk) Data Curation and Reliability for LLM and GenAI Applications](https://community.analyticsvidhya.com/c/datahour/data-curation-and-reliability-for-llm-and-genai-applications) LLM Data Frontiers (Spotify)](https://open.spotify.com/episode/34wDUQCBipBASvOmVwCKYm) LLM Data Frontiers (Apple Podcasts)](https://podcasts.apple.com/us/podcast/llm-data-frontiers/id1615142314?i=1000642502025) The Intersection of AI and Data Quality (ft. Curtis Northcutt, Cleanlab)](https://podcasts.apple.com/us/podcast/the-intersection-of-ai-and-data-quality-ft/id1329295997?i=1000643524909) Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks](https://slideslive.com/38969472/pervasive-label-errors-in-test-sets-destabilize-machine-learning-benchmarks) Finding Millions of Label Errors with Cleanlab](https://slideslive.com/38971637/finding-millions-of-label-errors-with-cleanlab) Introduction to Data-Centric AI course at MIT](https://www.youtube.com/playlist?list=PLnSYPjg2dHQKdig0vVbN-ZnEU0yNJ1mo5) Episode 153: Curtis Northcutt, CEO of Cleanlab](https://www.hireotter.com/behindcompanylines/episode-153-curtis-northcutt-ceo-of-cleanlab) Data-Centric AI Workshop: Q&A with Keynote Speakers](https://datacentricai.org/blog/qa-with-afternoon-invited-keynote-speakers-closing-remarks/) Future of Data-Centric AI 2022 presentation](https://www.youtube.com/watch?v=H_m66Uwh7rg&t=4s) DataTalks.Club Open-Source Spotlight](https://youtu.be/QHaT_AiUljw?si=nZwffCYwklkU5IxU) Data Council: Automatically Fix Data Issues & Label Errors in Most ML Datasets](https://www.youtube.com/watch?v=b0jH7nrbbQg) Data cleaning in NLP pipelines](https://www.youtube.com/watch?v=uoBOonumCJQ) Cleanlab: Making AI Work Healthcare and NLP Data](https://youtu.be/nGye-lrsLRc) MLOps Podcast: How to Find Bad Data](https://youtu.be/IwDGDAHgzAY) MLOps World 2023 Presentation: Operationalizing Data-Centric AI](https://youtu.be/Z2tLJqIWJQY?si=aRkXHwace1HU-McP) Microsoft Reactor: Why you should let AI fix your datasets](https://www.youtube.com/watch?v=6KgH6-T2XwY)

For more product focused demo videos and additional talks, check out our Youtube channel.