US-China trade war escalates, putting LLMs in focus due to Baidu CEO’s remarks

US-China trade war escalates, putting LLMs in focus due to Baidu CEO’s remarks

Baidu CEO Robin Li on Tuesday said⁢ Chinese institutions ‌and technology companies have‌ released over 70‌ large language models (LLMs) with​ over ⁢one billion​ parameters, further⁢ escalating the ongoing US-China trade war that​ has seen ⁣both the nations vie for supremacy in technology prowess, ‍including chipmaking, quantum computing,⁢ and AI.

Baidu last week secured regulatory approval in China to launch its AI ⁢chatbot which is seen as China’s response‍ to OpenAI’s‍ ChatGPT. Li claimed that the AI chatbot, Ernie 3.5, is capable of twice the processing power compared to its predecessor, with 50% improved efficiency.

Li’s comments come on the heels of several Chinese companies‍ releasing ‍ChatGPT-like generative AI assistants in the domestic market after getting due approvals from​ regulators, according to a news report from ChinaDaily. These companies⁢ included ‌the likes of TikTok-owner ByteDance, SenseTime, Zhipu ‍AI, MiniMax, and Baichuan⁣ Intelligent Technology.

On the other hand, several US-headquartered technology companies and institutions​ have also ‌released ‌several large language models over the past few months including Meta’s Llama 2, OpenAI’s GPT ‌3.5 and GPT-4, Google’s PaLM 2 and ⁣LaMDA, IBM’s watsonx models, Anthorpic’s Claude 2, Databricks’ Dolly, and ‌Amazon’s Titan foundation models.

US-China trade war ⁣dampens​ LLM and AI collaborations

While there is‌ no definitive number for the total number of models released by US ​institutions and companies till 2023, data ‌from a Stanford​ University study showed that the majority of ‌the world’s large language and multimodal models (54% ⁣in 2022) are produced ‌by American institutions.

The same study⁤ also showed⁢ that​ collaboration between Chinese and American⁢ organizations for⁣ developing large language models had‌ dropped severely post-2020.

The​ US put restrictions on the ‌export of ⁤chipmaking technology‌ to ‍China in ​an ​effort to stop China’s growing geopolitical influence, including the country’s technology prowess.

In contrast to the period between 2010 and 2020, which saw the number of AI research collaborations between the United States and China ​increase approximately four times, the⁢ period between 2020 and 2021 saw‍ the most negligible (2.1%) year-on-year growth since 2010, the study showed.

The US⁤ has‍ more newly funded AI companies

In addition, the study claims that the US still leads the world⁢ in terms of total private investment in artificial intelligence. In 2022, the $47.4 billion⁢ invested ⁣in ⁤the US was roughly 3.5 times the $13.4 billion invested in China.

Further, the US also continues to lead in terms of the total number of newly funded AI companies, according‌ to the study. For 2022, the ⁢number of newly funded AI companies in the US was 1.9 times more than the​ European Union and the UK combined and 3.4 times more than China.

Is China chipping away at the US’ AI and LLM dominance?

Analysts‌ believe that China is progressing rapidly‌ in the ⁣LLM domain, and…

2023-09-05 14:00:04
Article from www.computerworld.com

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