Recently, the 7th World Acoustic Expo and 2024 iFlytek Global 1024 Developer Festival opened in Hefei. Cutting-edge artificial intelligence technologies and products were unveiled at the exhibition, attracting many visitors to visit and experience it. The picture shows a humanoid interactive robot holding a selfie stick and taking photos with the audience. Photo by Xinhua News Agency reporter Fu Tian
How does artificial intelligence empower the development of new productive forces? How to make up for the "capability deficiencies" of large models? At the 2024 China Computer Conference held in Hengdian Town, Dongyang City, Zhejiang Province from October 24th to 26th, how to promote the continuous integration of artificial intelligence with all walks of life and make it a "base technology" that drives the digital transformation and innovative development of the economy and society, It sparked heated discussions among experts present at the meeting.
Merchants use large models to generate product details and graphic marketing materials to strengthen sales conversion; couriers use intelligent prompts and operations to improve the efficiency of delivery and collection; for patient consultation, the intelligent system provides professional and warm consulting services to doctors. Recommended treatment options... Experts at the meeting said that the technology and industry communities are continuing to witness increasingly powerful large models.
"Computing not only produces intelligence, but also shapes consensus, provides a new paradigm for scientific research, and gives birth to a new economic form." Chen Chun, an academician of the Chinese Academy of Engineering, said that computing is a key force in promoting the progress of the times.
"Currently, hundreds of large model applications are incubating and growing in many scenarios within JD.com, supporting the work of more than 600,000 employees and 200,000 merchants, further improving work efficiency and reducing costs." The relevant person in charge of JD.com said in Speaking at the conference, he said that although large models have not yet emerged as "super applications" for ordinary consumers, industrial applications have gradually spread.
The "Global Digital Economy White Paper (2024)" released by the China Academy of Information and Communications Technology shows that as of now, there are more than 1,300 large artificial intelligence models in the world, and China's number of large models accounts for 36%, ranking second in the world.
Industry insiders attending the meeting believed that artificial intelligence has developed for nearly 60 years and has experienced three highs and two lows, two of which were related to the failure of the technology to be truly implemented. The current rapid development of artificial intelligence is mainly driven by large model technology. Whether large models can be widely and effectively applied will become the key to the future development of this technology.
"The capabilities are indeed amazing, but the flaws are also surprising." When talking about the performance of the artificial intelligence Vincent Video large model Sora, Rui Yong, senior vice president of Lenovo Group, said that the emergence of large models has promoted the development of the entire artificial intelligence. But the limitations of a lack of reasoning, planning, and understanding of the physical world are also highlighted.
"Currently, people have high expectations for 'artificial intelligence +', but the application of artificial intelligence still needs to go through a period of exploration, running-in and accumulation before it can usher in prosperity." Mei Hong, an academician of the Chinese Academy of Sciences, believes that daily chat Or generating text reports and videos, which are usually only a small part of the industry's needs. The applications that the industry needs to be truly implemented are effective solutions to solve production problems and business problems.
Many experts mentioned that large models are not the only path for the development of artificial intelligence. A more comprehensive and mixed technology development path will likely promote artificial intelligence to solve problems and challenges such as breakthroughs in principles, data dependence, and computing power consumption.