Visual language model helps optimize automobile after-sales service

The application of visual language model (VLM) technology has enabled unprecedented optimization of automotive after-sales service. By understanding and interpreting visual and textual information, VLM can help after-sales service personnel better understand the problems and needs of the vehicle, thereby providing more accurate and efficient maintenance services. For example, VLM can help after-sales personnel identify the faulty parts of the vehicle, predict possible causes of the fault, and even provide repair suggestions and solutions. This not only improves the quality and efficiency of after-sales service, but also greatly improves user satisfaction.