MLOps.community

426 Episodes

1. [Exclusive] QuantumBlack Round-table // Gen AI Buy vs Build, Commercial vs Open Source

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 12/12/2023
17. AI in Education Fireside Chat // LLMs in Production Conference 3

    Published: 8/12/2023
18. [Exclusive] Tecton Round-table // Get your ML Application Into Production

    Published: 7/12/2023
19. DSPy: Transforming Language Model Calls into Smart Pipelines // Omar Khattab // #194

    Published: 5/12/2023
20. Fireside Chat with LLM Startups // LLMs in Production Conference 3

    Published: 1/12/2023