MLOps.community

401 Episodes

1. AWS Tranium and Inferentia // Kamran Khan and Matthew McClean // #238

   Published: 04/06/2024
2. Build Reliable Systems with Chaos Engineering // Benjamin Wilms // #237

   Published: 31/05/2024
3. Managing Small Knowledge Graphs for Multi-agent Systems // Tom Smoker // #236

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

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

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

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

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

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

   Published: 07/05/2024
10. What is AI Quality? // Mohamed Elgendy // #228

    Published: 03/05/2024
11. Handling Multi-Terabyte LLM Checkpoints // Simon Karasik // #228

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

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

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

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

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

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

    Published: 09/04/2024
18. Data Engineering in the Federal Sector // Shane Morris // #223

    Published: 05/04/2024
19. What Business Stakeholders Want to See from the ML Teams // Peter Guagenti // #222

    Published: 02/04/2024
20. MLOps - Design Thinking to Build ML Infra for ML and LLM Use Cases // Amritha Arun Babu & Abhik Choudhury // #221

    Published: 29/03/2024