A powerful neural network has been created in China: it is 10 times more productive than analogues

Experts from the Beijing Academy of Artificial Intelligence announced the creation of a generative neural network

deep learning Wu Dao 2.0 with record properties. Its power is much greater than that of its closest competitors - Open AI GPT-3 and Google Switch Transformers.

The advantage of the new neural network is power. They are measured in the number of learning parameters: that is, this is the number of factors that the neural network can use in the process of its work.

The Open AI GPT-3 neural network uses 175 billion parameters - this power allows it to generate meaningful texts, create music and program code.

Wu Dao 2.0 has more than 1.75 trillion parameters - 10 times more powerful than GPT-3.

A new development can perform different functions, it:

  • writes an essay,
  • poems and couplets in traditional Chinese,
  • recognizes images and generates them based on verbal descriptions,
  • imitates speech
  • creates culinary recipes,
  • predicts the three-dimensional structure of proteins.

During training of the neural network, the developers used almost 5 TB of images and texts, including 1.2 TB of texts in Chinese and English. 

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