LINE

    Text:AAAPrint
    Sci-tech

    Nation sets impressive pace on AI applications(3)

    2023-09-04 08:39:13China Daily Editor : Mo Honge ECNS App Download

    Market opportunity

    A report released by the Institute of Scientific and Technical Information of China said that as of May, the nation had developed at least 79 AI LLMs.

    Other Chinese tech giants such as Baidu, Tencent Holdings, SenseTime and JD have been busy rolling out their own AI models in recent months.

    Robin Li, co-founder and CEO of Baidu, said: "Generative AI and large language models hold immense transformative power in numerous industries, presenting a significant market opportunity for us. To stay ahead of the game, we keep upgrading our models to generate more creative responses while improving training throughput and lowering inference costs."

    Li said Baidu will further intensify its generative AI efforts, and plans to roll out the latest version of its LLM, Ernie 4.0, by the end of this year. The company, which unveiled its Ernie 3.5 LLM in the second quarter of the year, has been embedding the Ernie AI model into its products, including search engines, Baidu Maps, and online marketing business.

    Baidu is committed to building new growth momentum for generative AI and LLMs to drive sustainable long-term development, Li said. He emphasized that the company is working hard to build Ernie-powered applications and solutions for different industries and scenarios, and empower more enterprises to create industry-specific AI models and applications.

    Last month, Chinese authorities issued a 24-point guideline for managing generative AI services. The nation encourages the innovative development of generative AI, and supervises the technology using methods compatible with innovation and development.

    Interim measures support use of the technology in various fields to produce positive and high-quality content, and encourage the independent innovation of basic technologies, including generative AI algorithms, frameworks, chips and software platforms.

    Li said, "The Chinese government has been increasingly supportive of the development of generative AI and LLMs," adding he is quite optimistic about the future of the regulatory environment in China, as the latest AI rules are "more pro-innovation than regulation".

    Zhang Yaqin, dean of Tsinghua University's Institute for AI Industry Research, said although ChatGPT was not developed in China, about 100 Chinese companies have entered the generative AI field over the past six months. Some have rolled out LLMs, while others are developing industry-specific models covering fields such as biological computing and education, Zhang said.

    "China has been doing some terrific work in basic research, algorithms and industrial application of AI models, and generative AI has brought about disruptive changes to the entire industry," Zhang added.

    Pan Helin, co-director of the Digital Economy and Financial Innovation Research Center at Zhejiang University's International Business School, said, "China has gained an upper hand in bolstering the industrial application of AI compared with its foreign counterparts, given that the country boasts relatively complete industrial categories, an ultra-large consumer market and a strong development foundation."

    Although LLMs have significant potential in fields such as culture, retail, finance, healthcare and education, their real value comes from the consumer market, and the ultimate goal of LLMs in industrial application is to benefit the people, Pan said.

    He added that Chinese AI companies should devote more resources to improving computing power, algorithms and data quality, and step up investment in basic scientific research to gain a competitive edge in the global AI chatbot race.

    Market consultancy Gartner predicts that by 2025, generative AI will account for 10 percent of all data created, compared with less than 1 percent last year, and it could be used for activities such as creating software code, facilitating drug development, and targeted marketing.

    Yu Yi, technology lead for global consultancy Accenture China, said, "As generative AI will have a far-reaching impact, business leaders must act immediately and scale up investments in data, talent and customized AI models to meet enterprises' unique needs."

    Most Chinese executives agree that generative AI will trigger significant creativity and innovation, and usher in a new era of enterprise intelligence, Yu added.

    China has officially launched the formulation of a national standard for testing LLMs, and the nation's first standardization task force for LLMs was formed during the sixth World Artificial Intelligence Conference, which ended in Shanghai on July 8.

    The task force, headed by the Shanghai Artificial Intelligence Innovation Center, consists of six joint team leaders - Baidu, Alibaba Cloud, iFlytek Co, 360 Security Technology, Huawei Cloud and the China Mobile Research Institute.

    It will be responsible for drafting LLM standards to promote the combination of LLM technology and standardization practice, and boosting the healthy development of the overall AI industry.

    Related news

    MorePhoto

    Most popular in 24h

    MoreTop news

    MoreVideo

    LINE
    Back to top About Us | Jobs | Contact Us | Privacy Policy
    Copyright ©1999-2023 Chinanews.com. All rights reserved.
    Reproduction in whole or in part without permission is prohibited.
    [網(wǎng)上傳播視聽節(jié)目許可證(0106168)] [京ICP證040655號(hào)]
    [京公網(wǎng)安備 11010202009201號(hào)] [京ICP備05004340號(hào)-1]
    主站蜘蛛池模板: 甘孜| 延津县| 望都县| 葵青区| 惠东县| 苏尼特左旗| 隆子县| 乐山市| 武夷山市| 泸水县| 疏附县| 安岳县| 商洛市| 霸州市| 竹北市| 大连市| 繁昌县| 宁津县| 怀化市| 西林县| 凌云县| 尤溪县| 尉氏县| 肥城市| 阿鲁科尔沁旗| 肥东县| 贵德县| 和田县| 巨鹿县| 天全县| 商城县| 迭部县| 西充县| 富裕县| 陕西省| 彰化县| 石林| 乐陵市| 安仁县| 陇南市| 七台河市|