Abstract: A training method, an inference method, a device, an apparatus, and a medium for a deep learning model are provided. A first model includes a plurality of first parameters, a second model comprises a plurality of second parameters, which is initialized to parameter values of a plurality of target parameters selected from the plurality of first parameters. The training method includes: determining a target loss for both the first model and the second model; adjusting parameter values, including: in response to determining that the target loss indicates that the parameter values of at least part of the target parameters need to be adjusted, synchronously adjusting the parameter values of the corresponding second parameters; and in response to determining that the target loss indicates that the parameter values of at least part of the second parameters need to be adjusted, synchronously adjusting the parameter values of the corresponding target parameters.

Abstract: This application provides techniques for a live room presentation. The techniques comprise: receiving a live room entry instruction by an audience client computing device associated with a user; determining target avatar information associated with the user and a target live room based on the instruction; establishing a transmission connection between the audience client computing device and the target live room in a server to facilitate subsequent transmission of live data; obtaining virtual scene information and virtual audience information associated with the target live room; determining location information of each avatar corresponding to each user associated with the target live room in a virtual scene based on the target avatar information and the virtual audience information; and rendering and presenting the target live room based on the location information of each avatar in the virtual scene and the virtual scene information.

Abstract: A model file management method includes that a terminal device receives a storage address of a target model file package from a server and the terminal device obtains the target model file package based on the storage address of the target model file package, where the target model file package is based on a parameter of a model file package locally stored in the terminal device and a parameter of a model file package managed by the server. In an artificial intelligence (AI) field, an application may implement a specific function by using an AI model file. An application is decoupled from an AI model file such that the terminal device performs centralized management on a general model file.

Abstract: The technology of this application relates to a method for controlling a device using a voice and an electronic device, where the technology is applied to the field of artificial intelligence. The method for controlling a device using a voice includes: obtaining a voice instruction of a user, where the voice instruction is used to indicate a target instruction, obtaining user interface information of a current user interface, where the current user interface is a user interface currently displayed by a client device, and determining the target instruction corresponding to the voice instruction, where the target instruction is obtained by using the voice instruction and the user interface information. This technology described herein helps improve voice recognition efficiency.

Abstract: A model file management method includes that a terminal device receives a storage address of a target model file package from a server and the terminal device obtains the target model file package based on the storage address of the target model file package, where the target model file package is based on a parameter of a model file package locally stored in the terminal device and a parameter of a model file package managed by the server. In an artificial intelligence (AI) field, an application may implement a specific function by using an AI model file. An application is decoupled from an AI model file such that the terminal device performs centralized management on a general model file.