Industrial AI Podcast

Why everyone in the industrial sector should use/try code interpreter maybe for predictive quality.

Jul 19, 2023

35:51

Creator website

Highlights

AI Chapters

Episode notes

Programming by Prompts and Natural Language Programming with Limited Expertise

01:19

The Importance of Open Eyes in Data Science

01:20

Introduction

2min

The Highlight of the AI in the Apps

2min

The European Industrial Foundation Model

3min

The OPC Foundation and the European Industrial Data Model

3min

The Austrian Digital Minister Florian Tursky Spoke About the AI Act

2min

The Problem With the Definition of AI

2min

The Problem With the Defining AI Topic

2min

AutoML: A New Approach to Data Science

4min

GPT for Interpreter: How to Analyze Source Code

3min

10.

How to Build a Machine Learning Model

2min

11.

How to Predict Stock Prices

2min

12.

The Future of Machine Learning

3min

13.

The Limits of Data Science and Machine Learning

2min

14.

How to Improve Your Prompts for Data Analysis in the Industrial Sector

2min

15.

The Limits of Automated Machine Learning

2min

We take a brief look back at our "AI in the Alps" event. Afterwards, Prof. Dr. Marco Huber from Fraunhofer IPA explains to us why he worked with the Code Interpreter all weekend and what the approach could mean for AutoML.

Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.

We thank our partner Siemens

Do not forget our event AI in the forest together with Hannover Messe. Our main topics: AutoML and TabPFN with Prof. Dr. Frank Hutter and his team. Feel free to contact us, if you are interested robert@aipod.de

Our guests: Prof. Dr. Marco Huber (more)