OEE and LLaMA

This interview podcast features Robert Weber and Peter Seeberg discussing OEE.AI, a manufacturing analytics app, with its co-founder Jörn Steinbeck. The conversation begins with an update on OEE.AI's development since their last podcast three years prior, focusing on their new Generative AI (GenAI) approach using a 70 billion parameter LLaMA model nicknamed "Zaru." Steinbeck explains how Zaru, acting as an AI agent, accesses machine data and knowledge bases to provide real-time insights and troubleshooting assistance, improving Overall Equipment Effectiveness (OEE). While highlighting positive user feedback, particularly regarding streamlined troubleshooting, Steinbeck also acknowledges challenges in fine-tuning the LLaMA model and the need for more robust responses. The discussion concludes with future plans for OEE.AI, including expanding Zaru's capabilities to proactively suggest improvements and provide more context-specific advice.