The Future Is Now

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.

The article was written with the Telegram channel‘s assistance.

Source: mPost

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