430 Episodo

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publicado: 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)

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