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Xiaomi develops an open source audio model for artificial intelligence techniques

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In a move confirming its increasing ambitions in the artificial intelligence sector, the Chinese company Xiaomi announced the launch of an open source artificial intelligence model called MidashengLM-7B to be a new pillar within its strategy to develop technologies that go beyond the scope of traditional textual processing, extending to sound and natural interaction in smart devices.

Artificial intelligence serves cars and homes

The new model is not only a technical development, but rather a clear orientation of Xiaomi towards integrating artificial intelligence into its products that include smart cars and home appliances.

Midashenglm-7B was designed depending on an internal audio model previously developed by the company, and it works with the QWEN2.5-UMNI-7B model, which was developed by “Ali Baba”.

Exceptional performance and standard tests

Xiaomi develops an open source audio model for artificial intelligence techniques

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According to the “Xiaomitime” website, which specializes in the news of Xiaomi, Midashenglm-7B can achieve record results through 22 general performance standards, which reflects its progress on many competing solutions.

Among the most prominent advantages of the new model is the high speed in the response, as the first time delay time does not exceed 25% compared to the current solutions, and the first time is intended for the time that the model takes to begin to respond after receiving the inquiry, which is an essential indication of the efficiency of interactive models.

Efficiency in processing and reducing the need for resources

Away from the numbers, the new model shows a great ability to deal with a huge number of simultaneous operations, as it can carry out 20 times more tasks without the need to expand in memory resources, which is a strength in its use within guaranteed systems such as cars or home appliances.

Open data training

Regarding the training of the model, Xiaomi explained that it relied on MidashengLM-7B training on data available to the public, making it a transparent and future model in an open source framework, and this approach enhances societal expansion opportunities in its development and adaptation with multiple use scenarios.

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