MLOps.community

401 Episodes

1. The Variational Book // Yuri Plotkin // #253

   Published: 8/13/2024
2. Vision and Strategies for Attracting & Driving AI Talents in High Growth // Panel // AIQCON

   Published: 8/9/2024
3. Red Teaming LLMs // Ron Heichman // #252

   Published: 8/6/2024
4. Balancing Speed and Safety // Panel // AIQCON

   Published: 8/2/2024
5. Reliable LLM Products, Fueled by Feedback // Chinar Movsisyan // #251

   Published: 7/30/2024
6. A Blueprint for Scalable & Reliable Enterprise AI/ML Systems // Panel // AIQCON

   Published: 7/26/2024
7. AI Operations Without Fundamental Engineering Discipline // Nikhil Suresh // #250

   Published: 7/23/2024
8. AI in Healthcare // Eric Landry // #249

   Published: 7/19/2024
9. Evaluating the Effectiveness of Large Language Models: Challenges and Insights // Aniket Singh // #248

   Published: 7/16/2024
10. Extending AI: From Industry to Innovation // Sophia Rowland & David Weik // #247

    Published: 7/12/2024
11. Detecting Harmful Content at Scale // Matar Haller // #246

    Published: 7/9/2024
12. All Data Scientists Should Learn Software Engineering Principles // Catherine Nelson // #245

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

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

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

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

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

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

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

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

    Published: 6/7/2024