Abstract: The disclosure provides a chain-link converter, comprising: a first node; a second node; and a plurality of switch submodules, wherein the plurality of switch submodules are connected in series, and the plurality of switch submodules are electrically connected between the first node and the second node, and a switching time of at least one switch submodule is greater than the switching time of other switch submodules. The chain-link converter of the disclosure effectively suppresses the common-mode current by extending the switching time of at least one switch submodule.

Abstract: Embodiments of the present application disclose a content generation method and apparatus. The method includes: acquiring product description information; selecting, by using a deep neural network model component, a content phrase matched with the product description information, wherein the deep neural network model component is obtained by training according to a plurality of pieces of historical product description information and historical content of the historical product description information; and generating content corresponding to the product description information based on the selected content phrase.

Abstract: Embodiments of the present application disclose a content generation method and apparatus. The method includes: acquiring product description information; selecting, by using a deep neural network model component, a content phrase matched with the product description information, wherein the deep neural network model component is obtained by training according to a plurality of pieces of historical product description information and historical content of the historical product description information; and generating content corresponding to the product description information based on the selected content phrase.