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Do we need a "Simulink" for GenAI Systems?

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Content provided by Robert Weber / Peter Seeberg. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Robert Weber / Peter Seeberg or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Our guest is Prof. Dr. Jakub Tomczak. He works at the TU Eindhoven. His focus: GenAI Systems. He explains his approach, why Simulink plays a role and how he became the NeurIPS Chair.

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

We thank our partner SIEMENS https://www.siemens.de/de/

Our guest is Jakub Tomczak

We highly recommend his short article

machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence

  continue reading

272 episoade

Artwork
iconDistribuie
 
Manage episode 425787598 series 2579209
Content provided by Robert Weber / Peter Seeberg. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Robert Weber / Peter Seeberg or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Our guest is Prof. Dr. Jakub Tomczak. He works at the TU Eindhoven. His focus: GenAI Systems. He explains his approach, why Simulink plays a role and how he became the NeurIPS Chair.

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

We thank our partner SIEMENS https://www.siemens.de/de/

Our guest is Jakub Tomczak

We highly recommend his short article

machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence

  continue reading

272 episoade

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