Schaeffler and Siemens: How to train the Industrial Copilot?
Mar 20, 2024
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Siemens and Schaeffler collaborate on industrial co-pilot training, AI integration, and factory automation. Topics include enhancing prompts for efficiency, data hierarchy in industrial applications, and problem-solving with shop floor copilot. Learn about their innovative approach to engineering processes and workforce communication.
European AI Act regulates banned applications like social scoring and CCTV, with exemptions for specific scenarios.
Industrial Co-pilot integrates Large Language Models to enhance engineering workflows and optimize operations in critical industries.
Deep dives
Industrial AI podcast discusses the AI Act and its implications
The podcast provides insights into the AI Act approved by the European Parliament, highlighting key points such as the banned applications like social scoring, CCTV footage regulations, and exemptions for specific scenarios like missing child searches. It emphasizes the categories affected by the act, including critical industries like healthcare and education, requiring transparency and risk reduction. The podcast also mentions the labeling requirements for deep fakes and the timeline for implementation.
Exploring LLMs and their impact on industrial processes
The episode delves into Large Language Models (LLMs) and their potential applications in industrial settings. It discusses the significance of models like GPT-3 and Chet GPT for aiding in prompt engineering and generating code. The collaboration between Siemens and Sheffler to test LLM capabilities in PLC programming and operation optimization is highlighted, showcasing the focus on efficiency gains and workforce support.
Introducing Industry Co-pilot for engineering optimization
The podcast introduces the Industry Co-pilot as a tool for optimizing engineering workflows in industrial settings. It mentions the integration of LLM capabilities with TIA Portal, emphasizing the software's ability to automate repetitive tasks, provide suggestions, and enhance programmer efficiency. The process of combining user prompts with system prompts for effective prompt engineering is explained, along with the training process for programmers.
Future prospects and challenges in deploying Co-pilot on the shop floor
The episode discusses the potential of deploying Industry Co-pilot on the shop floor to address downtime and operational issues swiftly. It outlines use cases where machine operators can benefit from quick problem diagnosis, efficient troubleshooting, and streamlined operational guidance. The challenges of data hierarchy, security, and workforce training are acknowledged, signaling the ongoing exploration of cloud or edge-based solutions for different operational needs.
Siemens and Schaeffler are working together on use cases for the Industrial Copilot. Julius Bockamp from Schaeffler and Erik Scepanski from Siemens explain to us what they are planning, how they are training the Copilot, where it will be used.
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