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The rapid popularization of computing power and large models, especially the rapid maturation and implementation of multimodal large models, has led to an explosive growth in the demand for the collection and structuring of audio and video data .

With the large-scale structuring of audio and video, the application scenarios of audio and video hardware have been effectively broadened, and diverse upgrade and incremental requirements have also been put forward for the product form, function and performance of hardware .

As the largest carrier of multimodal data, audio and video data collection efficiency and effectiveness are significantly improved after AI structuring, providing an efficient path for data management and value mining .