Global EditionASIA 中文雙語Fran?ais
    Business
    Home / Business / Technology

    Catching up, eyeing edge in chatbot niches

    By CHENG YU | CHINA DAILY | Updated: 2023-08-28 07:03
    Share
    Share - WeChat
    Visitors check out the display screens of the AI-generated content solution from Ant Group during the 2023 World Artificial Intelligence Conference in Shanghai on July 7. CHEN MENGZE/FOR CHINA DAILY

    Beijing has launched a package of supportive policies to drive the innovative development of AIGC.The municipal government has also encouraged local companies and government departments to "purchase and use safe LLMs and related services", Dai said.

    For their part, Shanghai, Shenzhen, Hangzhou, Nanjing, Suzhou and Chengdu have all unveiled supportive policies to drive LLM development, in terms of computing power, data and ecosystem.

    Shanghai, for instance, will provide support for the companies' computer power investment to drive the R&D of LLMs. Shenzhen plans to launch a guideline for open-source apps and sharing of public data by the end of this year.

    There is a good reason, or concern, behind such policymaking. "The US continues to move forward. If China can't make its own universal LLM in the second half of this year, we might not even be able to see the 'taillights of cars' in the future," said Yu Linwei, deputy head of Shanghai's Xuhui district, at the World Artificial Intelligence Conference held in Shanghai in July.

    The China Electronics Standardization Institute, which is part of the Ministry of Industry and Information Technology, the country's top regulator of industries, said a national standard for LLMs would be implemented soon.

    It has enlisted internet search leader Baidu Inc, telecom giant Huawei Technologies Co, cybersecurity firm 360 Security Technology and e-commerce company Alibaba Group, to lead in the development of the LLM standard.

    "More efforts are needed from the government to increase investment so that China can truly stand at the forefront," Dai said.

    Chinese tech heavyweights' chatbots launched to rival ChatGPT have higher requirements for computing capacity for LLM training, he said.

    In a report, HSBC analysts said a model at the level of OpenAI's GPT-3 requires at least 1,000 AI chips of Nvidia to complete one 23-day round of training; so, demand for AI graphics processing units, which can process many pieces of data simultaneously, will likely grow by more than 40 percent in China this year.

    But high-performance computer chips, or semiconductors, are now at the center of tension between Washington and Beijing. The US government in October announced export bans aimed at restricting China's access to high-end chips.

    "US companies like Nvidia currently have the lead in developing AI chips and few Chinese companies can compete against ChatGPT given the export restrictions," said Pascale Fung, director of the Center for Artificial Intelligence Research at the Hong Kong University of Science and Technology, in an interview.

    Given the complex scenario, what will the future LLM landscape look like? At the annual conference of the Beijing Academy of Artificial Intelligence in June, OpenAI CEO Sam Altman emphasized the importance of collaboration between US and Chinese researchers.

    Such collaboration, Altman said, can help mitigate the risks of AI systems, against a backdrop of escalating competition between Washington and Beijing in technology. "China has some of the best AI talent in the world and, fundamentally, given the difficulties in solving alignment for advanced AI systems, this requires the best minds, from around the world."

    |<< Previous 1 2 3   
    Top
    BACK TO THE TOP
    English
    Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
    License for publishing multimedia online 0108263

    Registration Number: 130349
    FOLLOW US
    CLOSE
     
    一本加勒比hezyo无码专区| 日韩亚洲国产中文字幕欧美| 无码任你躁久久久久久老妇| 中文无码熟妇人妻AV在线| 精品无人区无码乱码毛片国产| 特级做A爰片毛片免费看无码| 亚洲精品无码专区2| 无码AV岛国片在线播放| 午夜无码中文字幕在线播放| 亚洲午夜无码久久久久小说| 十八禁无码免费网站| 亚洲精品无码午夜福利中文字幕| 亚洲中文字幕无码一区| 精品久久久无码中文字幕| 四虎成人精品无码| 东京热人妻无码一区二区av | 亚洲va中文字幕无码久久| 久久中文娱乐网| 日本妇人成熟免费中文字幕| 麻豆aⅴ精品无码一区二区| 人妻少妇AV无码一区二区| 中文字幕在线最新在线不卡| 最近中文字幕在线中文视频| 五十路熟妇高熟无码视频 | 人妻少妇无码视频在线| 无码精品一区二区三区在线| 人妻少妇AV无码一区二区| 久久中文字幕无码专区| 视频一区中文字幕| 婷婷中文娱乐网开心| 成人性生交大片免费看中文| 中文亚洲欧美日韩无线码| 亚洲午夜福利精品无码| 超清中文乱码字幕在线观看| 亚洲国产综合无码一区二区二三区| 国产精品无码一区二区在线观一| 国产成人精品无码一区二区| 国产午夜鲁丝无码拍拍| 波多野结衣亚洲AV无码无在线观看| 丰满熟妇人妻Av无码区| 草草久久久无码国产专区|