Baidu Shenshuan: The big model will change all industries, and the three "smart New Infrastructure" will speed up

Tech 2023-07-03 15:36:57 Source: Network

On May 30, the Standing Committee of Hebei Provincial People's Congress invited Shen Shuan, Executive Vice President of Baidu AI Cloud Group and President of Baidu Intelligent Cloud Business Group, to give a special lecture on "Big Model: A New Engine for Industrial Intelligence".Shen Dou said, "The emergence of big models has redefined human-computer interaction

On May 30, the Standing Committee of Hebei Provincial People's Congress invited Shen Shuan, Executive Vice President of Baidu AI Cloud Group and President of Baidu Intelligent Cloud Business Group, to give a special lecture on "Big Model: A New Engine for Industrial Intelligence".

Shen Dou said, "The emergence of big models has redefined human-computer interaction. In the future, people only need to use natural language to propose requirements, and big models can understand the requirements themselves, generate content, upgrade tools, and finally provide services. Both academia and industry believe that the fourth technological revolution has arrived

Shen Dou further explained that unlike the previous three technological revolutions, this technological revolution represented by artificial intelligence, especially the emergence of large models, has given birth to a new force that is evolving from a role of assisting brain power to a role of replacing brain power. This is a higher level of technological productivity that will completely change all industries.

However, training a good large model is not easy and the process is very complex. Different chefs use the same ingredients and utensils to produce dishes with different flavors. The same applies to large model training, where the effectiveness of large models trained by different companies may vary with the same data and parameter scale.

So we predict that in the future, it may be for a few large factories to develop basic big models, and then various industries and enterprises can develop industry big models, enterprise big models, and even local government big models based on this foundation, "Shen Dou said. Baidu is the first technology company among the global technology giants to launch a large model. Since ERNIE Bot internal test was announced on March 16, 150000 enterprises have applied for the test within a week, and each enterprise has obvious scenario needs. Baidu's big model services for enterprises include Wenxin Qianfan big model service platform, Baidu AI big base, etc.

In January of this year, the Hebei Provincial Government released the "Action Plan for Accelerating the Construction of Digital Hebei", proposing that the proportion of digital economy in GDP should reach over 42% by 2027. As of the end of March this year, the total number of cloud enterprises in Hebei Province exceeded 80000. The cloud coverage rate of industrial equipment in enterprises has reached 19.7%, ranking first in the country for two consecutive years. Hebei has also been listed by the Ministry of Industry and Information Technology as the only pilot province in China for the evaluation of industrial internet platform applications.

Shen Dou said, "The foundation of Hebei's digital economy is very solid. The engine of the digital economy will definitely be artificial intelligence in the future. Therefore, we need to vigorously develop the digital economy, and pay more attention to the implementation of artificial intelligence in various industries." Worldrenowned investment institutions Goldman Sachs and Ark Fund predict that the big model may increase global GDP by 7% annually and increase the productivity of knowledge workers by more than four times.

Regarding how to make good use of artificial intelligence and big models, and improve the digital economy, Shen Dou believes that the first priority is to build new infrastructure, including intelligent computing centers, data annotation bases, artificial intelligence chips, etc.

The general construction period of an intelligent computing center is about one to two years. Given the current trend of rapid development of large models, Shen Dou suggests that local governments should layout as soon as possible. Currently, Baidu is participating in the construction of intelligent computing centers in multiple cities across the country, such as Fuzhou, Tianjin, Jinan, Shenyang, and other places.

In the era of large models, a large amount of annotated data is required. In addition to annotated data, data annotation bases can also continuously cultivate AI trainers, model fine-tuning engineers, instruction engineers, and other personnel to help local enterprises connect with the last mile of the implementation of large models. Shen Dou believes that data annotation bases can also drive local employment and create economic value.

According to reports, Baidu AI Cloud has participated in the construction of 12 labeling bases nationwide, all of which are jointly built with the government, contributing more than 11000 jobs to the local community, indirectly driving 50000 people to find jobs, cultivating tens of thousands of AI data talents, and attracting and incubating more than 200 high-quality enterprises.

In terms of artificial intelligence chips, Shen Dou stated that it is necessary to vigorously support domestically produced independent chips, whether in terms of cost-effectiveness or safety and controllability. At present, Baidu's self-developed Kunlun Core has been widely deployed and used in the business of customers in finance, industry, education, and other fields. The third generation of Kunlun Core is expected to be mass-produced in 2024.

In the past few years, Baidu has been deeply involved in the construction of digital Hebei, building a data center in Baoding, and risk control industry bases in Handan and Tangshan, respectively. Baidu's subsidiaries and branches have nearly 3000 employees in Hebei. Baidu has also introduced multiple corporate clients within the ecosystem to Hebei, indirectly driving nearly 30000 employment opportunities.

Shen Dou stated that with the improvement of large model capabilities, multimodal large models that integrate text, speech, and vision will also quickly mature. This will further promote the deep integration of artificial intelligence and the real economy, and further enhance the level of intelligence and productivity in fields such as steel, automobiles, industrial manufacturing, cultural tourism, and autonomous driving.

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