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[Bonus Episode] Practical AI x MLOps // Demetrios Brinkmann, Mihail Eric, Daniel Whitenack and Chris Benson

Apr 7, 2023
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Episode notes
1
Introduction
00:00 • 2min
2
The Shadows of the MLOps Community
02:05 • 3min
3
The History of ML Ops
04:40 • 4min
4
The Differences Between Dev Ops and ML Ops
08:11 • 5min
5
How to Differentiate Between DevOps and ML Ops
12:41 • 2min
6
The Evolution of ML Ops
14:47 • 4min
7
The Importance of Naming Conventions in ML Operations
18:42 • 3min
8
Chat GPT: A New Year's Resolution
21:55 • 2min
9
The Importance of Generative Models in AI
23:45 • 3min
10
How to Use a Large Language Model to Help Your ML Ops Tasks
26:59 • 2min
11
The Future of Kubernetes
28:43 • 5min
12
The Future of Machine Learning
33:59 • 4min
13
The Future of Machine Learning
38:23 • 3min
14
The Future of ML Operations
40:55 • 2min
15
How to Think About ML Ops
42:49 • 5min
16
The Rise and Fall of ML Ops
48:18 • 3min
17
The Evolution of Generative AI
51:28 • 2min
18
The Importance of Language Model Chaining in ML Operations
53:52 • 2min
19
The Importance of Hype Cycles in ML Operations
55:25 • 3min