
A Microsoft employee (right) demonstrates the integration of the Microsoft Bing search engine with the Edge browser and OpenAI in Redmond, Washington, USA in February.Stephen Brasher/Associated Press
Domestic rivals are vying for versions of large language models. Fighting to keep pace with ChatGPT
A special battle continues in China as established tech giants and start-ups compete to develop their own artificial intelligence large-scale language models to take advantage of the opportunities created by AI-generated content.
The move comes amid expectations that AIGC will be the biggest technological transformation since the Internet 1.0, with new technology that allows computer algorithms to generate new text, images, code, video or audio in a human-like way. Heralding the dawn of the AI era.
Large language models are computer algorithms fed with large amounts of text data for use in tasks ranging from natural language processing to machine translation.
Goldman Sachs Research said a breakthrough in generative AI could bring about a fundamental shift in the global economy.
The penetration of business and society with tools that use natural language processing could increase global GDP by 7%, or nearly $7 trillion, and boost productivity growth by 1.5 percentage points over a decade, the research agency says. I am predicting. .
Goldman Sachs economist Joseph Briggs said, “Despite the great uncertainty about the potential of generative AI, it produces content that is indistinguishable from human-generated output, making it possible for human-machine interaction. “Its ability to break down communication barriers in the United States reflects significant progress with potentially large macroeconomic impacts.” Devesh Kodnani wrote in his report:
Wanting to turn the rosy prospect into a reality, Chinese companies are stepping up their AI efforts or devising new ones. Local governments are also rolling out favorable policies to accelerate AI development.
According to a report released by the China Institute of Science and Technology Information, as of May, China has at least 79 AI large-scale language models, namely ChatGPT (an AI chatbot developed by US-based AI research firm OpenAI). It is said that he was developing a rival for
ChatGPT, an acronym for Chat Generative Pre-trained Transformer, has amazed the world with its versatility in writing essays, checking program bugs and creating business plans. This is unlike traditional narrow AI projects that excel in only one area.
Zhao Zhiyun, head of ISTIC, said that China’s large-scale language model technology has developed rapidly along various technical routes in recent years, and in various fields such as natural language processing and machine vision, He added that there are several pre-trained versions that have made an impact on the industry.
Chinese tech giants such as Baidu Inc, Alibaba Group Holding Ltd and Tencent Holdings Ltd are all betting big on the technology, and more and more startups are launching LLMs.
According to ISTIC, China’s general-purpose LLM applications are expanding from office and entertainment to fields such as medical care and industrial education.
As ChatGPT leads a new wave of global LLM technology development, China is pooling AI innovation resources to conduct research on LLM algorithms and key technologies.
The city’s AI core industry size is expected to reach 300 billion yuan ($41.4 billion) by 2025, according to a plan released by the Chinese government in May to promote AI innovation and development.
The city of Shanghai has announced a series of measures to support private sector participation in building AI infrastructure such as data and computing power.
The city of Shenzhen, Guangdong province in southern China, proposes to integrate 100 billion yuan of financial resources into the AI field to strengthen the supply of intelligent computing power clusters, innovation capabilities of key core technologies and products, and industrial agglomeration. bottom.
Jerry Liu, head of China Internet research at UBS, said a new computing cycle emerges every 10 or 15 years, with AIGC marking the beginning of the next cycle.
Liu said many companies in the Asia-Pacific region are lagging behind those in developed markets in terms of digitalization. However, policy support for digitization, coupled with lower barriers to entry brought about by AI technology, could present significant growth opportunities for businesses in the region.
He added that China has more users and data for generative AI than other countries, and there are many opportunities.
