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2 years ago
US-China Tech War: Beijing-Funded AI Researchers Surpass Google and OpenAI with New Language Processing Model

Originally published in South China Morning Post, June 2, 2021.
  • The WuDao 2.0 natural language processing model had 1.75 trillion parameters, topping the 1.6 trillion that Google unveiled in a similar model in January.
  • China has been pouring money into AI to try to close the gap with the US, which maintains an edge because of its dominance in semiconductors.

A government-funded artificial intelligence (AI) institute in Beijing unveiled on Monday the world’s most sophisticated natural language processing (NLP) model, surpassing those from Google and OpenAI, as China seeks to increase its technological competitiveness on the world stage.

The WuDao 2.0 model is a pre-trained AI model that uses 1.75 trillion parameters to simulate conversational speech, write poems, understand pictures and even generate recipes. The project was led by the non-profit research institute Beijing Academy of Artificial Intelligence (BAAI) and developed with more than 100 scientists from multiple organisations.

Parameters are variables defined by machine learning models. As the model evolves, parameters are further refined to allow the algorithm to get better at finding the correct outcome over time. Once a model is trained on a specific data set, such as samples of human speech, the outcome can then be applied to solving similar problems.

In general, the more parameters a model contains, the more sophisticated it is. However, creating a more complex model requires time, money, and research breakthroughs.

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11 thoughts on “US-China Tech War: Beijing-Funded AI Researchers Surpass Google and OpenAI with New Language Processing Model

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  5. This development reflects China’s strategic pursuit of technological competitiveness on the global stage, showcasing the nation’s commitment to advancing AI capabilities. As the model sets a new standard in natural language processing, it not only establishes the prowess of Chinese research institutions but also raises the bar for innovation in the AI landscape worldwide.
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