![Industrial AI Podcast artwork](https://is2-ssl.mzstatic.com/image/thumb/Podcasts113/v4/f1/1a/bd/f11abd22-b466-3bd6-3fce-ccf3ae0c71f3/mza_4072551694802516327.png/100x100bb.jpg)
A LLM as co-pilot for robotic components
Industrial AI Podcast
English - September 20, 2023 22:01 - 33 minutes - 27.3 MBTechnology machine learning maschinenbau industrie künstliche intelligenz industrial ai artificial intelligence data ai podcast siemens Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
The LLM Copilot is part of the OS horst. The idea is to speed up the configuration of the robot and the components. The User asks the LLM, if the installation is quite ready or gets support with the installation of components. The system runs on ChatGPT but for Ismail it is also conceivable to run the application with LLaMA.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our partner [Siemens ](https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry.html)
More about Fruitcore Robotics
https://www.fruitcore-robotics.com/en/horstos-ai-copilot
Thanks to Women in AI and Robotics ([more](https://www.womeninairobotics.de/))
PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich
[https://www.zuehlke.com/en/machine-learning](https://www.zuehlke.com/en/machine-learning)
We thank our team:
Barbara, Anne and Simon!
In this episode, Robert Weber spoke with Patrick Heimburger and Ismail Shoukry from robotics builder Fruitcore Robotics about LLMs, the robotics co-ciplot and the simplified handling of components such as cameras.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our partner Siemens
More about Fruitcore Robotics
https://www.fruitcore-robotics.com/en/horstos-ai-copilot
Thanks to Women in AI and Robotics (more)
PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich
https://www.zuehlke.com/en/machine-learning
We thank our team:
Barbara, Anne and Simon!