MLOps.community

379 Episodes

1. Managing Small Knowledge Graphs for Multi-agent Systems // Tom Smoker // #236

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

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

   Published: 21/05/2024
4. Retrieval Augmented Generation

   Published: 17/05/2024
5. RecSys at Spotify // Sanket Gupta // #232

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

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

   Published: 7/05/2024
8. What is AI Quality? // Mohamed Elgendy // #228

   Published: 3/05/2024
9. Handling Multi-Terabyte LLM Checkpoints // Simon Karasik // #228

   Published: 30/04/2024
10. Leading Enterprise Data Teams // Sol Rashidi // #227

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

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

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

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

    Published: 12/04/2024
15. From MVP to Production // AI in Production Conference

    Published: 9/04/2024
16. Data Engineering in the Federal Sector // Shane Morris // #223

    Published: 5/04/2024
17. What Business Stakeholders Want to See from the ML Teams // Peter Guagenti // #222

    Published: 2/04/2024
18. MLOps - Design Thinking to Build ML Infra for ML and LLM Use Cases // Amritha Arun Babu & Abhik Choudhury // #221

    Published: 29/03/2024
19. 4 Years of the MLOps Community // Demetrios Brinkmann // #220

    Published: 26/03/2024
20. The Art and Science of Training LLMs // Bandish Shah and Davis Blalock // #219

    Published: 22/03/2024