Roundtable｜GPT leads the new wave of AI, how do startups embrace the trend, and what challenges do they face?

Intelligent manufacturing is becoming one of the important trends in modern industry, thanks to the rapid development and widespread application of technologies such as artificial intelligence and machine learning.

On May 20, at the 4th Shanghai Innovation and Entrepreneurship Youth 50 Forum, business representatives from multiple fields such as robotics, personal travel, textile and clothing industry, and text intelligent processing shared their vision for the future of intelligent manufacturing. , and the challenges faced by various industries.

Talking about how AI changes human life, Hu Yilin, founder and chief innovation officer of Xiaoniu Network Technology (Shanghai) Co., Ltd., said that in the past, the user’s geographical location, the number of series and parallel batteries per second, voltage and current, user behavior, etc. The data are independent of each other and require a lot of effort to label and clean. In the end, only rational results can be obtained. AI can analyze a variety of data and output perceptual and rational results based on multi-modal models, and provide different product configurations, such as how to drive in different cities, weather, and road conditions.

Chen Zhonghao, co-founder and senior vice president of Zhijing Technology Group and president of Shanghai Zhijing Information Technology Co., Ltd., said that AI has begun to have a profound impact and change on the textile and clothing industry chain. In the clothing fabric design process, companies used to rely more on experts or senior engineers, but now based on large models, AI can quickly generate data that can be applied to production based on raw material data, processes, clothing trends, consumption data, etc. , and a product with high degree of restoration.

He introduced that the market size of the textile and clothing industry chain exceeds 5 trillion yuan. Enterprises in the industry chain are mainly small, medium and micro enterprises. The industry is fragmented, the chain is long, and digital coverage is low. In this industry chain, there are always "errors" in supply and demand. When demand is uncontrollable, if a company produces too much, the product will not be sold, and if it produces too little, it will not make money. Therefore, we need to use the latest artificial intelligence technology to calculate the best solution for each demand and supply in real time.

Chen Yunwen, chairman of Daguan Data, mentioned the impact of AI on content creation and review. “In the past, people had to spend a lot of time reading reports, identifying financial statements, etc., and completing a lot of complicated document review work. I think people deal with data. In the field of work, whether it is review or writing, AI will definitely help us significantly reduce our burden and improve efficiency in the future."

The birth of ChatGPT triggered a wave of AI technology. How should startups embrace the trend, and what challenges do they face?

"Computing power, data, and algorithms are the three indispensable factors in the era of artificial intelligence," Chen Yunwen mentioned. Daguan Data is accumulating high-quality corpus to train the system, and will continue to increase investment in this area in the future.

He believes that AI technology will explode in 2023, forming a new generation of AI. Represented by large language models such as GPT, it has entered the AI ​​2.0 era, which means that its advanced nature and intelligence are one generation more advanced than the original dedicated intelligent systems. He said, “If an enterprise has a mechanism in this area, it can cause dimensionality reduction in terms of cost and efficiency. Therefore, we must understand the dynamics of new technologies, use new technologies, and keep up with the trend of technological development, so that we can continue to work in the future. Get the upper hand in the technological competition in the next ten years.”

When asked about the challenges faced by the company, Hu Yilin also mentioned computing power. He bluntly said that startups face the problem of being unable to compete with large companies for computing power. “Now all industries are competing for computing power, and computing power is the future. It is a very important infrastructure. We hope that under the guidance of the government, we can build a relatively large computing power center so that different enterprises can apply it."

In addition, he believes that too rapid technological change is also a major problem. For example, he said that his company once had a team that specialized in visual recognition analysis, and they needed to clean the collected data, a process that took a lot of time. The new technology is more than a hundred times more efficient and can directly replace the entire team. "In the AI ​​environment, people will hand over more rational thinking, structured, and repetitive work to AI in the future. Whether it is making to B or to C products, AI will definitely assume more capabilities." He said.

Co-founder Hu Yuchen said that he hopes everyone’s expectations for the industrial industry will be slightly lowered. In terms of consistency and stability, industrial software still requires a lot of investment. These investments are not solved by algorithms, but are process, production management or other more complex systemic issues.

He feels that more efforts need to be made to explore how to integrate basic application technologies with artificial intelligence. In addition to AI technology, we must also continue to invest in research and development of sensors, flexible control and other technologies, so that in the long run, we will not be stuck in basic application fields. ”

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