MLOps.community

383 Episodes

1. Design and Development Principles for LLMOps // Andy McMahon // #254

   Published: 20/08/2024
2. Data Quality = Quality AI // AIQCON Panel

   Published: 16/08/2024
3. The Variational Book // Yuri Plotkin // #253

   Published: 13/08/2024
4. Vision and Strategies for Attracting & Driving AI Talents in High Growth // Panel // AIQCON

   Published: 09/08/2024
5. Red Teaming LLMs // Ron Heichman // #252

   Published: 06/08/2024
6. Balancing Speed and Safety // Panel // AIQCON

   Published: 02/08/2024
7. Reliable LLM Products, Fueled by Feedback // Chinar Movsisyan // #251

   Published: 30/07/2024
8. A Blueprint for Scalable & Reliable Enterprise AI/ML Systems // Panel // AIQCON

   Published: 26/07/2024
9. AI Operations Without Fundamental Engineering Discipline // Nikhil Suresh // #250

   Published: 23/07/2024
10. AI in Healthcare // Eric Landry // #249

    Published: 19/07/2024
11. Evaluating the Effectiveness of Large Language Models: Challenges and Insights // Aniket Singh // #248

    Published: 16/07/2024
12. Extending AI: From Industry to Innovation // Sophia Rowland & David Weik // #246

    Published: 12/07/2024
13. Detecting Harmful Content at Scale // Matar Haller // #245

    Published: 09/07/2024
14. All Data Scientists Should Learn Software Engineering Principles // Catherine Nelson // #245

    Published: 05/07/2024
15. Meta GenAI Infra Blog Review // Special MLOps Podcast

    Published: 03/07/2024
16. AI Agents for Consumers // Shaun Wei // #244

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

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

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

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

    Published: 14/06/2024