How can the big model from "toys" to "tools" truly empower the industry?

At the end of last month, Shanghai's first large-scale model incubation acceleration carrier, the Shanghai "Model Speed Space" innovative ecological community, was unveiled on the west bank of Xuhui. Xuhui District has taken the lead in building a large-scale industrial ecological cluster in Shanghai, gathering nearly 200 upstream and downstream enterprises

At the end of last month, Shanghai's first large-scale model incubation acceleration carrier, the Shanghai "Model Speed Space" innovative ecological community, was unveiled on the west bank of Xuhui. Xuhui District has taken the lead in building a large-scale industrial ecological cluster in Shanghai, gathering nearly 200 upstream and downstream enterprises.

ChatGPT is excellent, but if it is given directly to enterprise users, it is a 'toy' and cannot be used directly, "said Li Bin, Chief Software Ecology Officer of a certain technology company. How to change this situation? He believes that this requires relying on the enterprise's own data and "knowledge" to integrate large models into the production process and truly play a role.

There are so many scenarios in China that require AI to empower, but we still need to start from three aspects: algorithms, computing power, and data, rooted in small and medium-sized enterprises in the industry, and create truly AI enabled products, "he said.

Wang Zheng, an expert in Zhipu AI solutions, said that there are "ninety-nine eighty-one difficulties" in moving large models from model to application. How to implement the big model and how to use it well in the customer's system? He believes that this requires open source power.

Chen Ran, founder and CEO of Beijing OpenCSG Technology Co., Ltd., pointed out that it is difficult to say which one wins, open source or closed source. In his view, open source is "long-term" and focuses on building a system.

Shi Lin, Director of the Content Technology Department of the Institute of Cloud Computing and Big Data at the Chinese Academy of Information and Communications, pointed out that open source and closed source are actually alternating and have a great relationship with the business strategy of enterprises. Overall, he pointed out that taking the path of open source can gather the wisdom of "folk experts" to promote the development of the big model ecosystem together.

The development of vertical large models and open source ecological communities is accelerating, and enterprises are facing both opportunities and challenges in this process. Industry insiders point out that entrepreneurs who "wake up too early" may not necessarily catch up with good opportunities. At present, the industry ecosystem is becoming increasingly mature from small data models to big data models, and innovation and development are at the right time. (End)

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