It was interpreted by commenters as an attempt to 'compete with the United States'. Wu Dao 2.0, was called 'the biggest language A.I. between Wu Dao and GPT-3) do not directly correlate to quality. The chairman of BAAI said that Wu Dao was an attempt to 'create the biggest, most powerful AI model possible' although direct comparisons between models based on parameter count (i.e. Yet, a growing body of work highlights the importance of increasing both data and parameters. Wu Dao was trained on 4.9 terabytes of images and texts (which included 1.2 terabytes of Chinese text and 1.2 terabytes of English text), while GPT-3 was trained on 45 terabytes of text data. It has been compared to GPT-3, and is built on a similar architecture in comparison, GPT-3 has 175 billion parameters - variables and inputs within the machine learning model - while Wu Dao has 1.75 trillion parameters. Wu Dao 1.0 was first announced on Januan improved version, Wu Dao 2.0, was announced on May 31.
'road to awareness') is a multimodal artificial intelligence developed by the Beijing Academy of Artificial Intelligence (BAAI). Chinese multimodal artificial intelligence program 悟道 (Wu Dao) Original author(s)īeijing Academy of Artificial Intelligence
