Abstract: A method of pushing information, a computer device and a storage medium are provided. The method includes: acquiring a plurality of real-time multimedia contents corresponding to each broadcast subject of at least one broadcast subject, wherein the multimedia contents correspond to at least one of a plurality of genres; for each broadcast subject, generating text information corresponding to the each broadcast subject based on the multimedia contents corresponding to the each broadcast subject; inputting a constraint condition and the text information corresponding to the each broadcast subject into a content generation model to obtain a target broadcast content corresponding to the each broadcast subject; and in response to satisfying a push trigger condition of a target broadcast subject of the at least one broadcast subject, pushing a target broadcast content under the target broadcast subject to a target user.

Abstract: A method of information processing, an electronic device and a storage medium are provided. The method includes: receiving input information to be processed; acquiring a target answer result of the information to be processed, wherein the target answer result is generated based on a generative model and a target plugin, a cooperative mode in which the generative model and the target plugin generate the target answer result is related to an implementation requirement of a capability of the target plugin, and the target plugin is a plugin that matches with the information to be processed and is used to answer the information to be processed; and displaying the target answer result.

Abstract: The present disclosure provides an information processing method and apparatus, an electronic device, and a storage medium. The method includes: acquiring a target functional tool to be displayed and a distribution style of the target functional tool, in which different target functional tools are configured to answer questions in different vertical scenarios, and the distribution style is any one of: including a functional tool identifier and a question sample, and including a functional tool identifier and a multi-round conversation sample; and displaying the target functional tool in a target page according to the distribution style of the target functional tool.

Abstract: A method for content generation, a computer device and a storage medium are provided. The method includes: acquiring input information to be answered; according to a target scenario category to which the information to be answered belongs, acquiring model assistant information that matches the target scenario category, wherein the model assistant information includes weight indicator information, and the weight indicator information is used for indicating corresponding generation weights under a plurality of generation angles when sequentially generating each character in answer content information; and using an artificial intelligence model to generate target answer content information according to the information to be answered and the model assistant information.

Abstract: A method of pushing information, a computer device and a storage medium are provided. The method includes: acquiring a plurality of real-time multimedia contents corresponding to each broadcast subject of at least one broadcast subject, wherein the multimedia contents correspond to at least one of a plurality of genres; for each broadcast subject, generating text information corresponding to the each broadcast subject based on the multimedia contents corresponding to the each broadcast subject; inputting a constraint condition and the text information corresponding to the each broadcast subject into a content generation model to obtain a target broadcast content corresponding to the each broadcast subject; and in response to satisfying a push trigger condition of a target broadcast subject of the at least one broadcast subject, pushing a target broadcast content under the target broadcast subject to a target user.

Abstract: The present disclosure provides a content generation method, a computer device, and a storage medium; and the method includes: parsing a multimedia content, which is acquired, to obtain multiple pieces of content text information; storing the content text information into a vector database in a vector data form according to a text association degree between the content text information, wherein vector data in the vector database have an index relationship related to the text association degree; in response to receiving question information which is input, querying target vector data matching the question information from the vector database based on the index relationship between the vector data in the vector database; and inputting target content text information corresponding to the target vector data and the question information into an artificial intelligence model to obtain an answer result associated with the multimedia content.