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Optimizing AI Models for Fault Detection and Data Efficiency
Exploring the significance of data and tools in enhancing AI models for precise fault detection, with a successful case study achieving over 90% accuracy in detecting faults in PV inverters and aging cables within six weeks. Additionally, the conversation delves into the benefits of generative AI models over conventional computer vision models in terms of data efficiency and adaptability to various environments.