Do we need a "Simulink" for GenAI Systems?
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.
1 Stunde 5 Minuten
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vor 5 Monaten
Prof. Dr. Jakub Tomczak published a sensational article on GenAI
Systems a few weeks ago. We immediately realised that he had to
explain it to us. His outlook: The idea of using LLMs as a backbone
for Operating Systems and agents as applications has attracted a
lot of attention. Here, we consider general systems with various
GenAI-based components, not only LLM-based compartments. Either
way, moving towards GenAI-based (operating) systems seems like the
future, and the next step of cloud-based systems. Indeed, GenAISys
can be deployed locally, but also in a cloud server; or as a hybrid
(e.g., a GeM, a cache storage, and DEs are local but external tools
and storage are in a cloud). The last option can be especially
appealing for manufacturing since all real-life operations must be
executed in real-time while data storage and other operations are
carried out by external services (or agents). 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](https://www.linkedin.com/in/jakub-tomczak-04305314a/) We
highly recommend his [short article
](https://jmtomczak.github.io/blog/21/21_genaisys.html)
#machinelearning #ai #aimodel #industrialautomation #manufacturing
#automation #genai #datascience #mlops #llm #IndustrialAI
#artificialintelligence
Systems a few weeks ago. We immediately realised that he had to
explain it to us. His outlook: The idea of using LLMs as a backbone
for Operating Systems and agents as applications has attracted a
lot of attention. Here, we consider general systems with various
GenAI-based components, not only LLM-based compartments. Either
way, moving towards GenAI-based (operating) systems seems like the
future, and the next step of cloud-based systems. Indeed, GenAISys
can be deployed locally, but also in a cloud server; or as a hybrid
(e.g., a GeM, a cache storage, and DEs are local but external tools
and storage are in a cloud). The last option can be especially
appealing for manufacturing since all real-life operations must be
executed in real-time while data storage and other operations are
carried out by external services (or agents). 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](https://www.linkedin.com/in/jakub-tomczak-04305314a/) We
highly recommend his [short article
](https://jmtomczak.github.io/blog/21/21_genaisys.html)
#machinelearning #ai #aimodel #industrialautomation #manufacturing
#automation #genai #datascience #mlops #llm #IndustrialAI
#artificialintelligence
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