AIGC "Summit Series" | Event Registration: Where Are LLMs in the Deployment Cycle?
On Products, On Execution


The ChatGPT wave earlier this year rapidly kicked off an imaginative new surge of AIGC entrepreneurship. A crop of large language model startups emerged domestically, grabbing all the attention in China's venture scene. In March and April, Code Brain organized four "AIGC Salon Series" events, focusing on hot topics like development opportunities in foundation models, ecosystem applications, and entrepreneurial pitfalls. We specially invited leading technical figures in the field — including Dr. Hongjiang Zhang, former Dean of Microsoft Research Asia's Engineering Institute; Dr. Wei Li, Chief Scientist at Trend and former Vice President of iFlytek's AI Research Institute; and Dr. Bo Long, head of Meta/Facebook's monetization AI research team — to share and exchange ideas with MaHui members.
Now, half a year later, discussions about large models and AI have entered a different phase: evolving from "talking concepts, discussing the future" to "discussing products, looking at deployment." After the underlying technical logic has been validated and widely accepted, AI entrepreneurs are repeatedly testing application products built on foundation models, while entrepreneurs outside the industry remain on the sidelines, wondering just how much these deployed products can actually change specific business operations across industries and enterprises.
There's no doubt that AI will become the technological foundation for most industries in the future, so entrepreneurs in any sector cannot afford to ignore the profound transformation underway. Especially in the current market environment, cost reduction and efficiency improvement are the top priorities for many businesses. How to leverage technical means and AI to enhance efficiency across industry and enterprise operations is a frequently discussed topic.
How will AI affect industries going forward? What developments lie ahead for foundation models? We may find some answers in their sharing.
For this Beijing edition of "Code Brain Guest Visit · Private Chat," Source Code Capital has partnered with Amazon Web Services to specially invite Dahai Li, Co-founder and CEO of ModelBest and Zhihu Partner and Chief Technology Officer, to share ModelBest's practical experience and deployed applications with foundation model products, his judgments on the future direction and development of large models, and to explore which links, levels, and domains current foundation model products can actually help enterprises achieve cost reduction and efficiency gains...
Dahai Li graduated from Peking University's Department of Mathematics and was among Google China's founding employees. He later served as Engineering Director at Yunyun and Search Technology Lead at Wandoujia, with 12 consecutive years of entrepreneurial experience. In addition to his role as CEO of ModelBest, he currently serves as Zhihu Partner, Chief Technology Officer, and Senior Vice President, leading a team of over 1,500 people with extensive experience in building top-tier technical systems, strategic planning, technical management, and commercialization.
If you're an entrepreneur in the large model/AI space, or simply an entrepreneur interested in this topic, we welcome you to scan the QR code to register and join us for face-to-face exchange in Beijing.
[Registration deadline: 12:00 PM, November 6, 2023]

Long-press the QR code image and select "Scan QR Code in Image" from the pop-up menu to access the registration channel.





