Practical AI: Machine Learning, Data Science, LLM

MLOps is NOT Real

Apr 26, 2022

45:57

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Highlights

AI Chapters

Episode notes

Are You Bringing Everyone Together?

05:58

The Ensemble of Motdos

03:57

Is There a Common Use Case for Machine Learning?

05:52

Introduction

2min

Machine Learning Acceleration - I'm Doing Very Well

3min

Model and Data Hubs

3min

How to Deploy a Mot in a Container?

3min

What Do You Think About the Evolution of M Lops in Devops?

2min

How Do You Deploy a Modol?

3min

Getting Your Best Ideas Into the World

4min

Are You Bringing Everyone Together?

6min

Is There a Common Use Case for Machine Learning?

6min

10.

Is It a Better Way to Teach Model Creation?

2min

11.

The Ensemble of Motdos

4min

12.

Do You Think There's an Opportunity for Loco, No Code Approaches to Modal Creation?

3min

13.

Is There a Future for Modo?

5min

We all hear a lot about MLOps these days, but where does MLOps end and DevOps begin? Our friend Luis from OctoML joins us in this episode to discuss treating AI/ML models as regular software components (once they are trained and ready for deployment). We get into topics including optimization on various kinds of hardware and deployment of models at the edge.

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