
Super Data Science: ML & AI Podcast with Jon Krohn 787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann
May 28, 2024
Demetrios Brinkmann, an MLOps expert, shares insights on MLOps, LLMOps, and DevOps. He discusses developing an online MLOps community, using third-party APIs, and building online communities. The episode also covers tools like LlamaIndex and Ollama for scaling LLMs, as well as guidance on data pipeline engineering using Kubernetes and YAML files.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8
Intro
00:00 • 2min
Gratitude for Listeners and Team on the Super Data Science Podcast
01:49 • 1min
Evolution of MLOps and AI Engineer Role
03:18 • 10min
Exploring the ML Engineer vs. MLOps Roles in the Era of Large Language Models
13:45 • 2min
Roles and Tools in MLOps
16:08 • 15min
Challenges of Organizing an In-Person Conference and Importance of Testing in ML
30:40 • 2min
Challenges and Trends in MLOps
32:54 • 21min
Exploring MLOps and Key Tools for ML Model Deployment
54:00 • 2min

