MLOps.community

430 Episodes

1. All Data Scientists Should Learn Software Engineering Principles // Catherine Nelson // #245

   Published: 7/5/2024
2. Meta GenAI Infra Blog Review // Special MLOps Podcast

   Published: 7/3/2024
3. AI Agents for Consumers // Shaun Wei // #244

   Published: 6/28/2024
4. ML and AI as Distinct Control Systems in Heavy Industrial Settings // Richard Howes // #243

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

   Published: 6/21/2024
6. Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development // Boris Selitser // #241

   Published: 6/18/2024
7. How to Build Production-Ready AI Models for Manufacturing // [Exclusive] LatticeFlow Roundtable

   Published: 6/14/2024
8. From Robotics to Recommender Systems // Miguel Fierro // #240

   Published: 6/11/2024
9. Uber's Michelangelo: Strategic AI Overhaul and Impact // #239

   Published: 6/7/2024
10. AWS Tranium and Inferentia // Kamran Khan and Matthew McClean // #238

    Published: 6/4/2024
11. Build Reliable Systems with Chaos Engineering // Benjamin Wilms // #237

    Published: 5/31/2024
12. Managing Small Knowledge Graphs for Multi-agent Systems // Tom Smoker // #236

    Published: 5/28/2024
13. Just when we Started to Solve Software Docs, AI Blew Everything Up // Dave Nunez // #235

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

    Published: 5/21/2024
15. Retrieval Augmented Generation

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

    Published: 5/16/2024
17. From A Coding Startup to AI Development in the Enterprise // Ryan Carson // #231

    Published: 5/10/2024
18. FedML Nexus AI: Your Generative AI Platform at Scale // Salman Avestimehr // #230

    Published: 5/7/2024
19. What is AI Quality? // Mohamed Elgendy // #228

    Published: 5/3/2024
20. Handling Multi-Terabyte LLM Checkpoints // Simon Karasik // #228

    Published: 4/30/2024