MLOps.community

A podcast by Demetrios Brinkmann

Categories:

391 Episodes

  1. Alignment is Real // Shiva Bhattacharjee // #260

    Published: 13/09/2024
  2. Ax a New Way to Build Complex Workflows with LLMs // Vikram Rangnekar // #259

    Published: 11/09/2024
  3. Building in Production Human-centred GenAI Solutions // Mohamed Abusaid & Mara Pometti// #177

    Published: 5/09/2024
  4. Visualize - Bringing Structure to Unstructured Data // Markus Stoll // #258

    Published: 3/09/2024
  5. AI Testing Highlights // Special MLOps Podcast Episode

    Published: 1/09/2024
  6. MLSecOps is Fundamental to Robust AISPM // Sean Morgan // #257

    Published: 30/08/2024
  7. MLOps for GenAI Applications // Harcharan Kabbay // #256

    Published: 27/08/2024
  8. BigQuery Feature Store // Nicolas Mauti // #255

    Published: 23/08/2024
  9. Design and Development Principles for LLMOps // Andy McMahon // #254

    Published: 20/08/2024
  10. Data Quality = Quality AI // AIQCON Panel

    Published: 16/08/2024
  11. The Variational Book // Yuri Plotkin // #253

    Published: 13/08/2024
  12. Vision and Strategies for Attracting & Driving AI Talents in High Growth // Panel // AIQCON

    Published: 9/08/2024
  13. Red Teaming LLMs // Ron Heichman // #252

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

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

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

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

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

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

    Published: 16/07/2024
  20. Extending AI: From Industry to Innovation // Sophia Rowland & David Weik // #247

    Published: 12/07/2024

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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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