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china ai lags behind: China lags behind in AI race amid lack of advanced chips, regulations

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China is still playing catch-up with the US when it comes to artificial intelligence (AI), as it faces a lack of access to advanced chips amid strict regulations, reports the South China Morning Post

The arrival of ChatGPT – and a barrage of AL models from US-based tech giants later like Bard, Gemini and LLaMA – forced Chinese tech companies to develop their own large language models (LLMs) but they are lagging behind.

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Baidu developed Ernie Bot and Alibaba Group built its own LLM called Tongyi Qianwen.

However, the AI field is still led by US companies.

“The country’s crowded market of more than 100 LLMs is constrained by lack of access to advanced chips, strict regulation, censorship of sensitive topics, high development costs and fragmented markets for the technology,” the report mentioned.

The biggest challenge is lack of access to cutting-edge graphics processing units (GPUs) from companies like Nvidia owing to US trade sanctions.

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The US government has updated its export control rules to block China’s access to advanced chips such as Nvidia’s H100 and A100 on national security grounds.”China faces multiple challenges in developing LLMs as technology gaps widen with the West due to the advent of GPT and Google’s Gemini,” Su Lian Jye, a chief analyst with research company Omdia, was quoted as saying.

“Limits on computing power due to chip bans, and the limited quality of data from the Mandarin-based internet compared to the English-speaking world, can also be setbacks,” Jye added.

OpenAI’s GPT, Google’s Gemini as well as its AI chatbot Bard are not directly available in China due to strict regulations.

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China is still playing catch-up with the US when it comes to artificial intelligence (AI), as it faces a lack of access to advanced chips amid strict regulations, reports the South China Morning Post

The arrival of ChatGPT – and a barrage of AL models from US-based tech giants later like Bard, Gemini and LLaMA – forced Chinese tech companies to develop their own large language models (LLMs) but they are lagging behind.

Elevate Your Tech Prowess with High-Value Skill Courses

Offering College Course Website
IIT Delhi IITD Certificate Programme in Data Science & Machine Learning Visit
IIM Kozhikode IIMK Senior Management Programme Visit
Indian School of Business ISB Digital Transformation Visit

Baidu developed Ernie Bot and Alibaba Group built its own LLM called Tongyi Qianwen.

However, the AI field is still led by US companies.

“The country’s crowded market of more than 100 LLMs is constrained by lack of access to advanced chips, strict regulation, censorship of sensitive topics, high development costs and fragmented markets for the technology,” the report mentioned.

The biggest challenge is lack of access to cutting-edge graphics processing units (GPUs) from companies like Nvidia owing to US trade sanctions.

Discover the stories of your interest


The US government has updated its export control rules to block China’s access to advanced chips such as Nvidia’s H100 and A100 on national security grounds.”China faces multiple challenges in developing LLMs as technology gaps widen with the West due to the advent of GPT and Google’s Gemini,” Su Lian Jye, a chief analyst with research company Omdia, was quoted as saying.

“Limits on computing power due to chip bans, and the limited quality of data from the Mandarin-based internet compared to the English-speaking world, can also be setbacks,” Jye added.

OpenAI’s GPT, Google’s Gemini as well as its AI chatbot Bard are not directly available in China due to strict regulations.

Stay on top of technology and startup news that matters. Subscribe to our daily newsletter for the latest and must-read tech news, delivered straight to your inbox.

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