430 Episodes

  1. Data Governance and AI // Alexandra Diem // #212

    Published: 2/16/2024
  2. Ads Ranking Evolution at Pinterest // Aayush Mudgal // #211

    Published: 2/13/2024
  3. LLM Evaluation with Arize AI's Aparna Dhinakaran // #210

    Published: 2/9/2024
  4. Powering MLOps: The Story of Tecton's Rift // Matt Bleifer & Mike Eastham // #209

    Published: 2/6/2024
  5. [Exclusive] QuantumBlack Round-table // Gen AI Buy vs Build, Commercial vs Open Source

    Published: 2/2/2024
  6. Micro Graph Transformer Powering Small Language Models // Jon Cooke // #208

    Published: 1/30/2024
  7. How Data Platforms Affect ML & AI // Jake Watson // #207

    Published: 1/26/2024
  8. RAG Has Been Oversimplified // Yujian Tang // #206

    Published: 1/23/2024
  9. The Myth of AI Breakthroughs // Jonathan Frankle // #205

    Published: 1/19/2024
  10. MLOps at the Crossroads // Patrick Barker & Farhood Etaati // #204

    Published: 1/16/2024
  11. Pioneering AI Models for Regional Languages // Aleksa Gordić // #203

    Published: 1/12/2024
  12. Small Data, Big Impact: The Story Behind DuckDB // Hannes Mühleisen & Jordan Tigani // #202

    Published: 1/9/2024
  13. Language, Graphs, and AI in Industry // Paco Nathan // #201

    Published: 1/5/2024
  14. Founding, Funding, and the Future of MLOps // Mihail Eric // #200

    Published: 1/2/2024
  15. Challenges Operationalizing ML (And Some Solutions) // Nathan Ryan Frank // #199

    Published: 12/29/2023
  16. Inferring Creativity // Nick Hasty // #198

    Published: 12/26/2023
  17. The Role of Infrastructure in ML // Niels Bantilan // #197

    Published: 12/22/2023
  18. LLMs in Focus: From One-Size Fits All to Verticalized Solutions // Venky Ganti & Laurel Orr // #196

    Published: 12/19/2023
  19. [Exclusive] Weights & Biases Round-table // Model Management in a Regulated Environment

    Published: 12/15/2023
  20. Building the Future of AI in Software Development // Varun Mohan // #195

    Published: 12/12/2023

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Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)