男女羞羞视频在线观看,国产精品黄色免费,麻豆91在线视频,美女被羞羞免费软件下载,国产的一级片,亚洲熟色妇,天天操夜夜摸,一区二区三区在线电影
Global EditionASIA 中文雙語Fran?ais
Latest News

Disruptive AI set to transform industry

Chinese tech companies seek to increase investment, boost computing power, gather more high-quality data

By FAN FEIFEI | China Daily | Updated: 2024-07-01 07:19
Share
Share - WeChat
An AI robot on display attracts visitors during the recent 2024 World Intelligence Expo in Tianjin. TONG YU/CHINA NEWS SERVICE

Competition is heating up the fast-developing field of generative artificial intelligence, a cutting-edge disruptive technology that is expected to be increasingly applied to a wider range of sectors and spearhead a new round of industrial transformation and upgrade, domain experts said.

Chinese technology companies, they said, should step up investment in improving computing power and algorithms and accumulate more high-quality training data, so as to gain an edge in the global AI race and narrow the gap with the United States in the latest tech frontier.

Generative AI refers to computer algorithms trained with huge amounts of data capable of generating content such as images, text, audio and video in a human-like fashion. It is the key technology underpinning US-based research firm OpenAI's ChatGPT.

The recent launch of GPT-4o, the latest large language model or LLM developed by OpenAI, has caused a global sensation. The new flagship generative AI model surpasses the company's existing models in visual and audio understanding, making the interaction between humans and machines much more natural and easier.

LLMs are AI models fed with huge amounts of text data for use in a variety of tasks, ranging from natural language processing to machine translation.

Industry insiders said the multimodal LLMs, which possess the abilities to process and generate content across multiple modalities, including text, images, audio and video, will lead the way for the further development of the generative AI industry, with significant potential for application in various industries like finance, retail, healthcare and intelligent manufacturing.

According to a report from global consultancy McKinsey & Co, generative AI will add between $2.6 trillion and $4.4 trillion in annual value to the global economy, enhancing all sectors of industry. Banking, high technology and life sciences are among the industries that could see the biggest impact from generative AI.

Major Chinese tech heavyweights, including Alibaba Group Holding Ltd, Baidu Inc, iFlytek and Tencent Holdings Ltd, are scrambling to roll out their own AI-powered LLMs and bolster the commercial use of generative AI technology.

In May, Alibaba Cloud, the cloud computing arm of Alibaba Group, unveiled Tongyi Qianwen 2.5, the latest version of its LLM, saying its capabilities have surpassed those of OpenAI's GPT-4 Turbo model, the predecessor of GPT-4o.

The Tongyi Qianwen 2.5 achieved a full upgrade with improved performance in reasoning, code comprehension and textual understanding compared with the previous version, the company said.

In the context of Chinese language, the new model has caught up with the GPT-4 model in terms of text understanding and generation, knowledge quiz, dialogues and life advice, said Zhou Jingren, chief technology officer of Alibaba Cloud.

Alibaba's LLMs have been deployed by over 90,000 enterprise users in industries like consumer electronics, automobiles, education, healthcare, culture, tourism and gaming.

"We look forward to collaborating with our customers and developers in seizing the immense growth opportunities presented by the latest surge in generative artificial intelligence technology," Zhou said, adding Alibaba Cloud will continue to contribute a diverse array of AI models to the open-source communities.

Official data showed that the Chinese self-developed LLMs rank second in the world, and over 100 LLMs with more than 1 billion parameters each have been launched in China.

1 2 Next   >>|

Today's Top News

Editor's picks

Most Viewed

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
主站蜘蛛池模板: 文登市| 北宁市| 西宁市| 若羌县| 凤翔县| 合肥市| 玛纳斯县| 湖南省| 志丹县| 内乡县| 宾阳县| 富川| 儋州市| 黄龙县| 重庆市| 凤庆县| 四川省| 枣阳市| 虹口区| 柞水县| 博爱县| 廊坊市| 日喀则市| 凤台县| 浮梁县| 徐汇区| 凤山县| 西平县| 莆田市| 安西县| 安多县| 普格县| 唐河县| 休宁县| 汉中市| 永泰县| 阿勒泰市| 常德市| 来宾市| 广河县| 南昌市| 遂川县| 隆安县| 郯城县| 漯河市| 灵台县| 景洪市| 三穗县| 南部县| 峡江县| 曲阜市| 肇州县| 台中县| 新泰市| 娄烦县| 宣汉县| 阳泉市| 桃源县| 城口县| 乃东县| 保亭| 玛多县| 河东区| 赞皇县| 黄龙县| 霍林郭勒市| 庆云县| 陆丰市| 姜堰市| 巴林右旗| 白水县| 咸宁市| 巩义市| 丰都县| 玉田县| 阳信县| 连平县| 申扎县| 新疆| 调兵山市| 鱼台县| 湘潭县|