在2023中關村論壇上發布的《中國人工智能大模型地圖研究報告》顯示，當前，中國人工智能大模型正呈現蓬勃發展態勢。據不完全統計，截至目前，參數在10億規模以上的大模型全國已發布了79個。
A visitor experiences metaverse digital virtual human at the exhibition of the 2023 Zhongguancun Forum in Beijing, May 28, 2023. [Photo/VCG]
China has developed at least 79 large-scale artificial intelligence models with over 1 billion parameters each, a research institute said in a rare public statement, amid the worldwide buzz created by OpenAI's artificial intelligence chat bot ChatGPT.
在OpenAI的人工智能聊天機器人ChatGPT引起全球熱議之際，一家研究機構發布報告稱，據不完全統計，截至目前，參數在10億規模以上的大模型全國已發布了79個。
Industry experts said the United States and China have led the global development of such models, but China still had to narrow the gap with the US in the field.
業內專家表示，美國和中國引領了人工智能大模型的全球發展，但中國仍需縮小與美國在該領域的差距。
More than 14 provincial regions in China have contributed to the research and development of large-scale AI models.
報告顯示，中國已有14個省區市在開展人工智能大模型研發。
Up to 38 are from Beijing, followed by 20 from Guangdong province, according to the latest report by the Institute of Scientific and Technical Information of China, which is affiliated with the Ministry of Technology.
科技部直屬的中國科學技術信息研究所發布的最新報告顯示，人工智能大模型研發主要集中在北京、廣東兩地，其中北京有38個大模型，廣東有20個大模型。
To support the endeavor, local authorities are offering public computing power to meet the rising computing demand from large-scale AI models.
為了支持人工智能大模型研發，各地正在提供公共算力，以滿足人工智能大模型不斷增長的算力需求。
Beijing and Shanghai municipalities, as well as Guangdong and Zhejiang provinces, currently have the largest number of such models, and they are also the regions that have purchased the most AI servers in the past three years, the report showed.
報告顯示，北京、廣東、浙江、上海等地的大模型數量最多；同時這些地區也是近三年人工智能服務器采購數量最高的地區。
"The development of China's large-scale AI models is booming, with several technical routes making breakthroughs at the same time," said Zhao Zhiyun, head of the research institute, during the just-concluded Zhongguancun Forum.
中國科學技術信息研究所所長趙志耘在剛剛結束的中關村論壇上表示：“中國人工智能大模型研發正在蓬勃發展，各種技術路線都在并行突破。”
The US and China have led the global development of such models and contributed to 80 percent of the large-scale AI models across the world, she said, adding that China has to narrow the gap to catch up with the US.
她說，從全球已發布的大模型分布來看，中國和美國大幅領先，超過全球總數的80%。中國必須縮小差距才能趕上美國。
For instance, for China's large-scale AI models, natural language processing is still the most active field of research and development, followed by the multimodal field, she said.
例如，對于中國的人工智能大模型，自然語言處理仍然是最活躍的研發領域，其次是多模態等方面。
"But there are few models in the fields of computer vision and intelligent speech, and there is declining cooperation between universities and research institutes with companies," she said.
她說：“但在機器視覺和智能語音領域人工智能大模型很少，學術界與產業界之間的聯合研發仍不足。”
"More efforts are needed to boost the overall planning and coordination of resources and accelerate basic research and technological innovation, so as to actively participate in global AI governance to further promote the orderly development of large models," Zhao added.
趙志耘補充說：“未來，我國還需加強資源和研發力量統籌，加快基礎研究和技術創新，積極參與全球人工智能治理,以進一步促進大模型有序發展。”
According to the report, half of China's large-scale AI models are open source, meaning that they are made freely available.
根據該報告，中國已有超過半數的大模型實現開源，可供免費使用。
Kai-Fu Lee, former head of Google China and CEO of Chinese investment firm Sinovation Ventures, told China Daily: "Open source should be supported but Chinese companies cannot rely too much on open source.
谷歌大中華區前總裁、創新工場首席執行官李開復在接受《中國日報》采訪時表示：“開源應該得到支持，但中國企業不能過于依賴開源。”
"It is necessary to establish their own intellectual property and technological advantages as soon as possible to form a moat, or a barrier, because the open source model cannot reach the performance of the self-developed model of foreign manufacturers. In other words, the ability of open source models will become a ceiling that limits Chinese companies."
“必須盡快建立自己的知識產權和技術優勢，形成護城河，或者壁壘，因為開源模型無法達到國外廠商自主研發模型的性能。換句話說，開源模型的能力將成為限制中國公司的天花板。”
"At the same time, the open source technologies of major overseas manufacturers have the risk of being shut down. Moreover, due to differences in culture, user habits, and laws and regulations, it is risky to bring a model trained abroad to China for fine-tuning."
“與此同時，海外主要制造商的開源技術面臨被關閉的風險。此外，由于文化、用戶習慣和法律法規的差異，將在國外訓練的模型帶到中國進行調整是有風險的。”
Dai Qionghai, an academician at the Chinese Academy of Engineering, said China has strong AI applications but lacks in innovation compared with the US. The country should also boost AI talent training, Dai added.
中國工程院院士戴瓊海表示，與美國相比，中國擁有強大的人工智能應用，但缺乏創新。戴瓊海補充說，國家還應該加強人工智能人才的培訓。
來源：中國日報
編輯：yaning
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