China Surpasses the USA with 130 LLMs in Global AI Race
China has emerged as a frontrunner in this technological trend poised to shape the 2020s. The global surge in Generative AI based on LLMs has prompted a metaphorical reflection: “After low tide, we find out who was swimming naked,” highlighting the criticality of national LLM infrastructure.
As of July this year, China has surged ahead of the United States, boasting a staggering 130 LLMs within its borders. This numerical supremacy marks China’s quest to become the paramount global leader in implementing LLMs across diverse sectors, chiefly in industry, to fortify its position as the world’s technological powerhouse.
Currently, the adoption of LLMs in the industrial landscape remains modest, a situation that doesn’t align with China’s aspirations. The Chinese leadership is determined to address this gap promptly.
Contrary to the misconception that businesses require AIs that simply outperform humans in conversation, the true imperative lies in LLMs that deliver substantial, tangible benefits, translating into significant financial gains. To realize this vision, LLM producers must lay the foundation for a comprehensive national LLM infrastructure, enabling enterprises to craft tailored LLMs for specific applications.
At the forefront of this ambitious endeavor is Baidu’s Qianfan large model platform, poised to serve as the cornerstone of China’s new national LLM infrastructure. Qianfan aspires to empower enterprises in swiftly constructing custom LLMs tailored to their specific needs, with access to 42 prominent LLMs from both Chinese and international research hubs, including the open-source Meta model Llama 2.
Within the next few months, industry associations will play a pivotal role in determining whether LLMs will indeed evolve into the intelligent operating system of the AI era. When the tide of LLM implementation reaches its zenith around the upcoming summer, China aims to stand triumphant, casting a light-hearted gaze at nations that may have been metaphorically “swimming naked,” neglecting the establishment of a robust national LLM infrastructure amidst the LLM frenzy.
- Recently, the Chinese tech giant, owner of the WeChat social media platform, has announced that Hunyuan has become the foundation of over 50 of its products and services. Tencent’s vice president, Jiang Jie, stated that by July, there will be over 130 large language models in China. Hunyuan’s debut comes after several Chinese tech firms, including Baidu and SenseTime Group, recently unveiled their own AI models. Hunyuan has over 100 billion parameters and was trained with over 2 trillion tokens, two metrics used to measure AI models’ power. Tencent claims that its model is “better” than OpenAI’s ChatGPT in areas such as writing long text with thousands of words and solving certain math problems. Additionally, the model experiences 30% less hallucination compared to Llama 2. AI experts often describe moments where AI models generate incorrect information but present it as fact as “hallucination.”
The article was written with the Telegram channel‘s assistance.
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About The Author
Damir is the team leader, product manager, and editor at Metaverse Post, covering topics such as AI/ML, AGI, LLMs, Metaverse, and Web3-related fields. His articles attract a massive audience of over a million users every month. He appears to be an expert with 10 years of experience in SEO and digital marketing. Damir has been mentioned in Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, BeInCrypto, and other publications. He travels between the UAE, Turkey, Russia, and the CIS as a digital nomad. Damir earned a bachelor's degree in physics, which he believes has given him the critical thinking skills needed to be successful in the ever-changing landscape of the internet.
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Damir is the team leader, product manager, and editor at Metaverse Post, covering topics such as AI/ML, AGI, LLMs, Metaverse, and Web3-related fields. His articles attract a massive audience of over a million users every month. He appears to be an expert with 10 years of experience in SEO and digital marketing. Damir has been mentioned in Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, BeInCrypto, and other publications. He travels between the UAE, Turkey, Russia, and the CIS as a digital nomad. Damir earned a bachelor's degree in physics, which he believes has given him the critical thinking skills needed to be successful in the ever-changing landscape of the internet.
