MLOps.community

391 Episodes

1. Evaluating and Integrating ML Models // Morgan McGuire and Anish Shah // #213

   Published: 21/02/2024
2. Data Governance and AI // Alexandra Diem // #212

   Published: 16/02/2024
3. Ads Ranking Evolution at Pinterest // Aayush Mudgal // #211

   Published: 13/02/2024
4. LLM Evaluation with Arize AI's Aparna Dhinakaran // #210

   Published: 9/02/2024
5. Powering MLOps: The Story of Tecton's Rift // Matt Bleifer & Mike Eastham // #209

   Published: 6/02/2024
6. [Exclusive] QuantumBlack Round-table // Gen AI Buy vs Build, Commercial vs Open Source

   Published: 2/02/2024
7. Micro Graph Transformer Powering Small Language Models // Jon Cooke // #208

   Published: 30/01/2024
8. How Data Platforms Affect ML & AI // Jake Watson // #207

   Published: 26/01/2024
9. RAG Has Been Oversimplified // Yujian Tang // #206

   Published: 23/01/2024
10. The Myth of AI Breakthroughs // Jonathan Frankle // #205

    Published: 19/01/2024
11. MLOps at the Crossroads // Patrick Barker & Farhood Etaati // #204

    Published: 16/01/2024
12. Pioneering AI Models for Regional Languages // Aleksa Gordić // #203

    Published: 12/01/2024
13. Small Data, Big Impact: The Story Behind DuckDB // Hannes Mühleisen & Jordan Tigani // #202

    Published: 9/01/2024
14. Language, Graphs, and AI in Industry // Paco Nathan // #201

    Published: 5/01/2024
15. Founding, Funding, and the Future of MLOps // Mihail Eric // #200

    Published: 2/01/2024
16. Challenges Operationalizing ML (And Some Solutions) // Nathan Ryan Frank // #199

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

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

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

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

    Published: 15/12/2023