Do we need a "Simulink" for GenAI Systems?

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

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The Industrial AI Podcast reports weekly on the latest developments in AI and machine learning for the engineering, robotics, automotive, process and automation industries. The podcast features industrial users, scientists, vendors and startups in the field of Industrial AI and machine learning. The podcast is hosted by Peter Seeberg, Industrial AI consultant and Robert Weber, tech journalist.Their mission: Demystify Industrial AI and machine learning, inspire industrial users. The hosts: Peter Seeberg is an Industrial AI and machine learning expert for the manufacturing industry. He worked over 25 years in IT (Intel) and 10 years in Automation. He co-initiated the Industrial Data Intelligence Startup (Softing) where he was responsible for managing machine learning projects in industrial environments. Today he advises companies when it comes to Industrial AI and machine learning. Together with Robert Weber, journalist for industrial topics, he discusses AI and ML applications, standards, and education topics, make or buy decisions as well as regulation for AI in manufacturing.