MLOps.community

383 Episodo

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

   Publicado: 20/8/2024
2. Data Quality = Quality AI // AIQCON Panel

   Publicado: 16/8/2024
3. The Variational Book // Yuri Plotkin // #253

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

   Publicado: 9/8/2024
5. Red Teaming LLMs // Ron Heichman // #252

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

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

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

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

   Publicado: 23/7/2024
10. AI in Healthcare // Eric Landry // #249

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

    Publicado: 16/7/2024
12. Extending AI: From Industry to Innovation // Sophia Rowland & David Weik // #246

    Publicado: 12/7/2024
13. Detecting Harmful Content at Scale // Matar Haller // #245

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

    Publicado: 5/7/2024
15. Meta GenAI Infra Blog Review // Special MLOps Podcast

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

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

    Publicado: 25/6/2024
18. Accelerating Multimodal AI // Ethan Rosenthal // #242

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

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

    Publicado: 14/6/2024