AI Explained

A podcast by Fiddler AI

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12 Episodes

  1. GRC in Generative AI with Navrina Singh

    Published: 12/7/2024
  2. Inference, Guardrails, and Observability for LLMs with Jonathan Cohen

    Published: 11/9/2024
  3. What the EU AI Act Really Means with Kevin Schawinski

    Published: 10/25/2024
  4. Productionizing GenAI at Scale with Robert Nishihara

    Published: 7/29/2024
  5. Metrics to Detect Hallucinations with Pradeep Javangula

    Published: 5/2/2024
  6. AI Safety and Alignment with Amal Iyer

    Published: 3/7/2024
  7. Managing the Risks of Generative AI with Kathy Baxter

    Published: 1/23/2024
  8. Legal Frontiers of AI with Patrick Hall

    Published: 12/21/2023
  9. Building Generative AI Applications for Production with Chaoyu Yang

    Published: 9/29/2023
  10. Graph Neural Networks and Generative AI with Jure Leskovec

    Published: 9/2/2023
  11. Machine Learning for High Risk Applications with Parul Pandey

    Published: 7/26/2023
  12. AI Safety in Generative AI with Peter Norvig

    Published: 6/30/2023

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AI Explained is a series hosted by Fiddler AI featuring industry experts on the most pressing issues facing AI and machine learning teams. Learn more about Fiddler AI: www.fiddler.ai