The Chinese lab claims that Wudao's sub-models achieved better performance than previous models, beating OpenAI’s CLIP and Google’s ALIGN on English image and text indexing in the Microsoft COCO dataset.

For image generation from text, a novel task, BAAI claims that Wudao’s sub-model CogView beat OpenAI's DALL-E, a state-of-the-art neural network launched in January this year with 13 billion parameters. The institution is working with Damo Academy, Alibaba's AI research lab, to utilize CogView to develop applications that can be used to produce custom designed apparel that better addresses shoppers' need.