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IFLYTEK and Huawei join forces to build a domestic large model on the basis of independent innovation in hardware and software.

2025-02-27 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >

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At present, artificial intelligence pre-training large model is setting off a new round of intelligent upsurge, leading artificial intelligence from special to general. At the 2023 World Artificial Intelligence Conference, large models once again ignited industry attention, more than 30 large models at home and abroad competed on the same stage, and the global artificial intelligence cutting-edge technologies collectively appeared.

On July 6, Hu Guoping, senior vice president of Xinfeld and director of National Key Laboratory of Cognitive Intelligence, announced the cooperation between Xinfeld and Huawei at the Shengteng Artificial Intelligence Industry Summit Forum sponsored by the New Generation Artificial Intelligence Industry Technology Innovation Strategic Alliance (AITISA) and China Artificial Intelligence Industry Development Alliance (AIIA) and organized by Huawei. Xinfeld Spark and Shengteng AI are strongly combined to create a new base for general intelligence in China. "Only the computing base based on China's independent innovation can have a big future for domestic large models," Hu Guoping said.

Hu Guoping reviewed the development process of Xunfei Spark Cognitive Large Model. Under the core technology reserve for many years, the "1+N" cognitive intelligent large model was launched on December 15, 2022. On May 6, 2023, Xunfei Spark Cognitive Large Model was officially released, showing seven core capabilities such as text generation, language understanding, knowledge question and answer, logical reasoning, etc. And continue to iterate on June 9 to upgrade again released spark cognitive model V1.5.

Around the spark model, Hu Guoping also shared the application of the large model in education, office, automobile, medical treatment, industry and other fields. Based on the innovation step of core technology, the spark model realized the innovative application from 0 to 1 in many industry scenarios.

Behind the accelerated iteration catch-up of large models is the computational challenge that cannot be ignored.

However, at present, the development of large models is highly dependent on high-end AI chips, clusters and ecosystems. High computing performance, high communication bandwidth and large memory have become indispensable computing bases for large model training. The progress speed of single AI chip has not kept up with the demand of large model for large computing power, and computing power clustering has become an irreversible development trend.

"The key to the safety and development of China's large-scale models is the rapid progress of large-scale model ecology based on independent innovation hardware and software. "Hu Guoping said," The strong combination of Xunfei Spark and Shengteng AI makes the domestic large model architecture based on independent innovation of software and hardware. "On the one hand, Xinfeld Spark cognitive large model is based on the integrated design of training and reasoning, realizing the technical breakthrough of sparse and low-precision quantization of large model, which can efficiently adapt to ascending AI and accelerate the industrial landing application and iteration of large model; On the other hand, with ascending AI as the core, software and hardware collaborative optimization, a large model training cluster with concentrated computing power, superior performance, stable supply and data security is constructed.

In Hu Guoping's view, the large model is similar to the brain principle layer, which is combined together by more than 100 billion neurons to receive input stimulation and generate intelligent output, with similar intelligent excitation and operation mechanism. "What the brain can do, the big model can do. This indicates that large models have unlimited potential. After four waves of artificial intelligence, in the era of large models emerging from intelligence, it is possible to finally find a positive solution. "

Looking ahead, more data, larger models, stronger demands, more complex tasks, big models continue to call for big computing power.

"We are willing to work with Shengteng AI to seize new opportunities in the history of general artificial intelligence and make every effort to build a new base for general intelligence in our country. "Hu Guoping said.

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