MLOps.community

A podcast by Demetrios Brinkmann

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383 Episodio

  1. From Robotics to Recommender Systems // Miguel Fierro // #240

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

    Pubblicato: 07/06/2024
  3. AWS Tranium and Inferentia // Kamran Khan and Matthew McClean // #238

    Pubblicato: 04/06/2024
  4. Build Reliable Systems with Chaos Engineering // Benjamin Wilms // #237

    Pubblicato: 31/05/2024
  5. Managing Small Knowledge Graphs for Multi-agent Systems // Tom Smoker // #236

    Pubblicato: 28/05/2024
  6. Just when we Started to Solve Software Docs, AI Blew Everything Up // Dave Nunez // #235

    Pubblicato: 27/05/2024
  7. Open Standards Make MLOps Easier and Silos Harder // Cody Peterson // #234

    Pubblicato: 21/05/2024
  8. Retrieval Augmented Generation

    Pubblicato: 17/05/2024
  9. RecSys at Spotify // Sanket Gupta // #232

    Pubblicato: 16/05/2024
  10. From A Coding Startup to AI Development in the Enterprise // Ryan Carson // #231

    Pubblicato: 10/05/2024
  11. FedML Nexus AI: Your Generative AI Platform at Scale // Salman Avestimehr // #230

    Pubblicato: 07/05/2024
  12. What is AI Quality? // Mohamed Elgendy // #228

    Pubblicato: 03/05/2024
  13. Handling Multi-Terabyte LLM Checkpoints // Simon Karasik // #228

    Pubblicato: 30/04/2024
  14. Leading Enterprise Data Teams // Sol Rashidi // #227

    Pubblicato: 26/04/2024
  15. The Rise of Modern Data Management // Chad Sanderson // #226

    Pubblicato: 23/04/2024
  16. Beyond AGI, Can AI Help Save the Planet? // Patrick Beukema // #225

    Pubblicato: 19/04/2024
  17. GenAI in Production - Challenges and Trends // Verena Weber // #224

    Pubblicato: 17/04/2024
  18. Introducing DBRX: The Future of Language Models // [Exclusive] Databricks Roundtable

    Pubblicato: 12/04/2024
  19. From MVP to Production // AI in Production Conference

    Pubblicato: 09/04/2024
  20. Data Engineering in the Federal Sector // Shane Morris // #223

    Pubblicato: 05/04/2024

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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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