MLOps.community

391 Episodes

1. Detecting Harmful Content at Scale // Matar Haller // #246

   Published: 9/07/2024
2. All Data Scientists Should Learn Software Engineering Principles // Catherine Nelson // #245

   Published: 5/07/2024
3. Meta GenAI Infra Blog Review // Special MLOps Podcast

   Published: 3/07/2024
4. AI Agents for Consumers // Shaun Wei // #244

   Published: 28/06/2024
5. ML and AI as Distinct Control Systems in Heavy Industrial Settings // Richard Howes // #243

   Published: 25/06/2024
6. Accelerating Multimodal AI // Ethan Rosenthal // #242

   Published: 21/06/2024
7. Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development // Boris Selitser // #241

   Published: 18/06/2024
8. How to Build Production-Ready AI Models for Manufacturing // [Exclusive] LatticeFlow Roundtable

   Published: 14/06/2024
9. From Robotics to Recommender Systems // Miguel Fierro // #240

   Published: 11/06/2024
10. Uber's Michelangelo: Strategic AI Overhaul and Impact // #239

    Published: 7/06/2024
11. AWS Tranium and Inferentia // Kamran Khan and Matthew McClean // #238

    Published: 4/06/2024
12. Build Reliable Systems with Chaos Engineering // Benjamin Wilms // #237

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

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

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

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

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

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

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

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

    Published: 3/05/2024