MLOps.community

A podcast by Demetrios Brinkmann

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379 Episodes

  1. Red Teaming LLMs // Ron Heichman // #252

    Published: 6/08/2024
  2. Balancing Speed and Safety // Panel // AIQCON

    Published: 2/08/2024
  3. Reliable LLM Products, Fueled by Feedback // Chinar Movsisyan // #251

    Published: 30/07/2024
  4. A Blueprint for Scalable & Reliable Enterprise AI/ML Systems // Panel // AIQCON

    Published: 26/07/2024
  5. AI Operations Without Fundamental Engineering Discipline // Nikhil Suresh // #250

    Published: 23/07/2024
  6. AI in Healthcare // Eric Landry // #249

    Published: 19/07/2024
  7. Evaluating the Effectiveness of Large Language Models: Challenges and Insights // Aniket Singh // #248

    Published: 16/07/2024
  8. Extending AI: From Industry to Innovation // Sophia Rowland & David Weik // #246

    Published: 12/07/2024
  9. Detecting Harmful Content at Scale // Matar Haller // #245

    Published: 9/07/2024
  10. All Data Scientists Should Learn Software Engineering Principles // Catherine Nelson // #245

    Published: 5/07/2024
  11. Meta GenAI Infra Blog Review // Special MLOps Podcast

    Published: 3/07/2024
  12. AI Agents for Consumers // Shaun Wei // #244

    Published: 28/06/2024
  13. ML and AI as Distinct Control Systems in Heavy Industrial Settings // Richard Howes // #243

    Published: 25/06/2024
  14. Accelerating Multimodal AI // Ethan Rosenthal // #242

    Published: 21/06/2024
  15. Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development // Boris Selitser // #241

    Published: 18/06/2024
  16. How to Build Production-Ready AI Models for Manufacturing // [Exclusive] LatticeFlow Roundtable

    Published: 14/06/2024
  17. From Robotics to Recommender Systems // Miguel Fierro // #240

    Published: 11/06/2024
  18. Uber's Michelangelo: Strategic AI Overhaul and Impact // #239

    Published: 7/06/2024
  19. AWS Tranium and Inferentia // Kamran Khan and Matthew McClean // #238

    Published: 4/06/2024
  20. Build Reliable Systems with Chaos Engineering // Benjamin Wilms // #237

    Published: 31/05/2024

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Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.

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