MLOps.community

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

Apr 7, 2023

58:44

Creator website

AI Chapters

Episode notes

Introduction

2min

The Shadows of the MLOps Community

3min

The History of ML Ops

4min

The Differences Between Dev Ops and ML Ops

5min

How to Differentiate Between DevOps and ML Ops

2min

The Evolution of ML Ops

4min

The Importance of Naming Conventions in ML Operations

3min

Chat GPT: A New Year's Resolution

2min

The Importance of Generative Models in AI

3min

10.

How to Use a Large Language Model to Help Your ML Ops Tasks

2min

11.

The Future of Kubernetes

5min

12.

The Future of Machine Learning

4min

13.

The Future of Machine Learning

3min

14.

The Future of ML Operations

2min

15.

How to Think About ML Ops

5min

16.

The Rise and Fall of ML Ops

3min

17.

The Evolution of Generative AI

2min

18.

The Importance of Language Model Chaining in ML Operations

2min

19.

The Importance of Hype Cycles in ML Operations

3min

Worlds are colliding! This week we join forces with the hosts of the Practical AI podcast to discuss all things machine learning operations. We talk about how the recent explosion of foundation models and generative models is influencing the world of MLOps, and we discuss related tooling, workflows, perceptions, etc.

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