MLOps.community

401 Episodes

1. 4 Years of the MLOps Community // Demetrios Brinkmann // #220

   Published: 3/26/2024
2. The Art and Science of Training LLMs // Bandish Shah and Davis Blalock // #219

   Published: 3/22/2024
3. Security and Privacy // Day 2 Panel 1 // AI in Production Conference

   Published: 3/19/2024
4. [Exclusive] Zilliz Roundtable // Why Purpose-built Vector Databases Matter for Your Use Case

   Published: 3/15/2024
5. A Decade of AI Safety and Trust // Petar Tsankov // MLOps Podcast #218

   Published: 3/12/2024
6. The Real E2E RAG Stack // Sam Bean, Rewind AI // #217

   Published: 3/8/2024
7. Managing Data for Effective GenAI Application // Anu Arora and Anass Bensrhir // #215

   Published: 3/5/2024
8. Becoming an AI Evangelist // Alex Volkov // #215

   Published: 3/1/2024
9. LLM Use Cases in Production // AI in Production Conference // Panel 1

   Published: 2/28/2024
10. Information Retrieval & Relevance // Daniel Svonava // #214

    Published: 2/24/2024
11. Evaluating and Integrating ML Models // Morgan McGuire and Anish Shah // #213

    Published: 2/21/2024
12. Data Governance and AI // Alexandra Diem // #212

    Published: 2/16/2024
13. Ads Ranking Evolution at Pinterest // Aayush Mudgal // #211

    Published: 2/13/2024
14. LLM Evaluation with Arize AI's Aparna Dhinakaran // #210

    Published: 2/9/2024
15. Powering MLOps: The Story of Tecton's Rift // Matt Bleifer & Mike Eastham // #209

    Published: 2/6/2024
16. [Exclusive] QuantumBlack Round-table // Gen AI Buy vs Build, Commercial vs Open Source

    Published: 2/2/2024
17. Micro Graph Transformer Powering Small Language Models // Jon Cooke // #208

    Published: 1/30/2024
18. How Data Platforms Affect ML & AI // Jake Watson // #207

    Published: 1/26/2024
19. RAG Has Been Oversimplified // Yujian Tang // #206

    Published: 1/23/2024
20. The Myth of AI Breakthroughs // Jonathan Frankle // #205

    Published: 1/19/2024