Core Viewpoint - The company Keda Xunfei has acknowledged issues with the accuracy of its AI learning machine, specifically the T30pro model, in recognizing answers, attributing these inaccuracies to various factors including engine performance fluctuations and environmental conditions [1] Group 1: Product Issues - Users have reported that the Keda Xunfei AI learning machine misjudged answers, with one instance where a user intentionally mispronounced a word, yet the machine still recognized it as correct [1] - The company has processed a return for the affected user, indicating a willingness to address customer concerns [1] Group 2: Industry Context - Keda Xunfei's customer service stated that no product in the industry currently achieves 100% accuracy in grading, highlighting a common challenge faced by similar technologies [1] - Factors such as lighting conditions, image clarity, and individual handwriting styles can all contribute to recognition errors, which are difficult to eliminate entirely [1] Group 3: Future Improvements - The company emphasized its commitment to continuously optimize and iterate on the relevant features to enhance recognition accuracy in future updates [1]
科大讯飞回应学习机识别错误,科大讯飞学习机误判答案 客服回应:引擎识别波动,行业内也难以100%避免