Practical AI: Machine Learning, Data Science, LLM

"Foundation" models

Mar 23, 2022

41:26

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Episode notes

Is There a Least Evil Path Forward to Getting the Best Foundation Model?

04:14

Foundation Models - Are They Grounded?

05:55

Definition of Foundation Models

01:36

Introduction

3min

I'm a Data Fabric Analyst, and I'd Love to Talk Through That With You

2min

Definition of Foundation Models

2min

Transfer Learning - Scaling

4min

Using Foundation Models in Organizational Learning?

4min

Is That a Good Parallel?

4min

Do You See Any Alternative to Foundational Models?

3min

Is There a Least Evil Path Forward to Getting the Best Foundation Model?

4min

Foundation Models - Are They Grounded?

6min

10.

Is the Model Building on Diversity?

2min

11.

I'm Really Interested in This Idea of Grounding

2min

12.

Is There Grounding in Foundation Models?

3min

13.

The Foundation Model Security Analyst

2min

14.

Practical a I for This Week

2min

The term “foundation” model has been around since about the middle of last year when a research group at Stanford published the comprehensive report On the Opportunities and Risks of Foundation Models. The naming of these models created some strong reactions, both good and bad. In this episode, Chris and Daniel dive into the ideas behind the report.

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Featuring:

Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Something missing or broken? PRs welcome!

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Practical AI: Machine Learning, Data Science, LLM

"Foundation" models

Is There a Least Evil Path Forward to Getting the Best Foundation Model?

Foundation Models - Are They Grounded?

Definition of Foundation Models

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