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foreword
In the early hours of July 13, Beijing time, Musk announced on Twitter: "xAI is officially established, to understand reality." Musk said that the reason for launching xAI is to "understand the true nature of the universe."
It has been half a year since Ghat GPT was born, and the "Hundred Models War" at home and abroad is intensifying. What do you think of the current situation and development of AI large models?
1. Review of the "Hundred Models Competition" in the first half of the year
1.1 What is the "Hundred Models Competition"
The scuffle of large-scale models in the rivers and lakes has intensified, and more and more players are getting off the field.
竞争最激烈也最受关注的，便是在大模型领域有所积累的互联网巨头选手们。
The origin of this wave of melee ChatGPT. The ChatGPT-like products of giant players and the latest AI large language model are the first to receive attention.
Among them, Baidu released it on March 16 文心一言; Ali’s 通义千问has started internal testing on April 7 商量SenseChat; After the on-site demonstration on the 29th 360智脑, the enterprise internal test will also start on April 16th.
This is the "Hundred Models Battle"!
These ChatGPT-like products focus on dialogue question and answer, text and code generation capabilities. The outside world often uses multiple rounds of dialogue, mathematics ability, and coding ability as evaluation standards.
1.2 The influence of AI large model on us
Some people may ask, I have never used Wenxinyiyan or ChatGPT, so I will not be affected by the big AI model, right?
Actually wrong.
In the face of a tool or technology with universal applicability, almost everyone will be affected.
It's just that this influence is divided into two forms: active embrace and passive acceptance.
Jin Li, President of Fudan University: Both scientific research and education in universities should embrace AI.
Although artificial intelligence technologies such as large models are good or bad, people are still debating, but in an 复旦大学校长、中国科学院院士金力interview with the reporter of "China Economic Weekly", he said: Human mastering AI technology is like human beings learning to generate electricity, and AI is also at this level Technology and tools will profoundly change human life style and social structure.
Tang Daosheng, Senior Executive Vice President of Tencent and CEO of Cloud and Smart Industry Business Group: The industry model is a better option for enterprises to embrace AI.
The impact of powerful work is subtle and subtle. It will gradually improve itself and transform you together.
2. Current status of China's AI industry
As a cutting-edge interdisciplinary subject, artificial intelligence is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence, and regards it as a branch of computer science, pointing out Its research includes robotics, speech recognition, image recognition, natural language processing, and expert systems.
As a well-developed region in the field of artificial intelligence in the world, my country's enterprises are involved in the basic layer, technical layer, and application layer of artificial intelligence, as well as artificial intelligence hardware products, software products and services. 百度、阿里、腾讯In China, apart from vertical companies such as Xunfei, these three giants are still making progress in artificial intelligence .
The number of artificial intelligence enterprises in China ranks second in the world, and Beijing is the city with the highest concentration of artificial intelligence enterprises in the world.
As of June 2018, a total of 4,925 artificial intelligence companies have been monitored worldwide, of which 2,028 are American artificial intelligence companies, ranking first in the world.
China (excluding Hong Kong, Macao and Taiwan) has a total of 1,011 artificial intelligence companies, ranking second in the world, followed by the United Kingdom, Canada and India.
3. Prospects and challenges of my country's AI industry
"Chat" is not everything, and the development of China's AI will eventually go deep and practical.
- Insufficient basic theory and underlying technology
Because my country's artificial intelligence industry focuses on application technology and neglects basic theory, the accumulation of underlying technologies is weak, and there is a "top-heavy" structural imbalance, which makes my country's artificial intelligence industry like a castle built on the beach, with an unstable foundation.
- The development atmosphere is impetuous
The artificial intelligence market is booming, but there are enterprises and governments that do not fully understand and think about the development of the industry, and generally overestimate and are eager to realize the near-term commercial value of artificial intelligence.
- Insufficient high-end talents
Although there is a huge reserve of basic personnel, there is a shortage of mid-to-high-end talents, and China's high-end talents are only equivalent to 20% of the United States. The lack of cross-border talents who take into account both artificial intelligence and traditional industries limits the development of the industry and its deep integration with the real economy, which is not conducive to the application and promotion of artificial intelligence in various vertical industries.
Building a solid computing power base is only the first step in the Long March. In order to promote artificial intelligence to "go deeper and more realistically", it is necessary to accelerate the development of artificial intelligence in various industries to create greater value.
epilogue
AI promises to be a powerful force reshaping key industries in China. However, regardless of the business domain, it is not possible to easily capture the value of a technology use case.
If enterprises only dabble in relevant investment, they will not be able to truly deploy artificial intelligence technology to achieve revenue growth or profit improvement. On the contrary, only by formulating an AI strategy that is deeply integrated with the business, accelerating talent transformation, and improving the talent training mechanism, can it be possible to fully release the huge economic value contained in artificial intelligence opportunities and win current and future competition.