At the World Artificial Intelligence Conference, iFlytek announced a partnership with Huawei

Currently, large-scale models are leading the transformation of artificial intelligence from special-purpose to general-purpose, sweeping the wave of intelligence. At the 2023 World Artificial Intelligence Conference (WAIC), large models once again aroused industry attention. More than 30 large models at home and abroad competed on the same stage, and global artificial intelligence cutting-edge technologies were collectively unveiled.

On July 6, at the Shengteng Artificial Intelligence Industry Summit Forum hosted by Huawei, Hu Guoping, Senior Vice President of iFlytek and Director of the National Key Laboratory of Cognitive Intelligence, announced the cooperation between iFlytek and Huawei. iFlytek Spark will Cooperate with Shengteng AI to create a new universal intelligent base in China.

“Domestic large-scale models can only have a big future based on the computing power base based on China’s independent innovation,” Hu Guoping said.

Hu Guoping reviewed the development history of the iFlytek Spark cognitive large model at the meeting. On December 15, 2022, a special project on the "1 N" cognitive intelligence large model was launched. On May 6, 2023, iFlytek Spark recognized The Zhida model was officially released, debuting seven core capabilities such as text generation, language understanding, knowledge question and answer, and logical reasoning, and continued to iterate. On June 9, it was upgraded again and released the Spark Cognitive Model V1.5.

Hu Guoping, Senior Vice President of iFlytek and Director of the National Key Laboratory of Cognitive Intelligence

Focusing on the Spark model, Hu Guoping also shared the application of large models in education, office, automobile, medical, industry and other fields. Based on the innovation step of core technology, the Spark model has achieved from 0 in multiple industry scenarios. to 1 innovative applications.

Behind the accelerated iteration and catching up of large models is a computing power challenge that cannot be ignored. However, currently large model research and development is highly dependent on high-end AI chips, clusters and ecosystems. High computing performance, high communication bandwidth and large video memory have become the indispensable computing power base for large model training. The progress of single AI chips has not kept up with the demand for large computing power for large models. Computing power clustering has become an irreversible development trend. .

According to information disclosed by Huawei, Ascend AI clusters have currently supported the construction of artificial intelligence computing centers in 25 cities across the country, among which 7 city public computing power platforms have been selected into the first batch of national "new generation artificial intelligence public computing power open innovation platforms" . At this forum, Huawei announced a comprehensive upgrade of the Ascend AI cluster. The cluster scale has been expanded from the original 4,000-card cluster to 16,000 cards. It is the industry's first 10,000-card AI cluster, with faster training speed and a stable training cycle of more than 30 days. Ten times ahead of the industry.

The key to the safety and development of large models in our country lies in the rapid promotion of a large model ecosystem based on independent innovative hardware and software. "Hu Guoping said that the cooperation between iFlytek Spark and Ascend AI will strengthen the domestic large-scale model architecture based on independently innovative software and hardware." "On the one hand, the iFlytek Spark cognitive large model is based on the integrated design of training and reasoning, achieving technological breakthroughs in large model sparseness and low-precision quantification. It can efficiently adapt to Ascend AI and accelerate the industrial application and iteration of large models; on the other hand, In terms of aspect, with Shengteng AI as the core, software and hardware are collaboratively optimized to build a large model training cluster with concentrated computing power, superior performance, stable supply, and data security.

In Hu Guoping's view, large models are similar to the principle layer of the brain. They are combined through more than 100 billion neurons, receive input stimulation, and then produce intelligent output. They have similar intelligent stimulation and operation mechanisms. "What the brain can do, large models can also achieve. This indicates that large models have unlimited potential. In the four waves, artificial intelligence has experienced the era of large models with the emergence of intelligence, and may finally find the right answer."

The future prospects show the increase in data volume, model size, enhanced demand and complexity of tasks, which makes the demand for large computing power for large models still increasing. We hope to join hands with Shengteng AI to seize the historic opportunity of general artificial intelligence and fully help our country build a new cornerstone of general intelligence. "Hu Guoping said.

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