Abstract: The disclosure provides a method and an apparatus for generating comment information based on a large model, an electronic device and a storage medium, relates to a technical field of artificial intelligence, and in particular to the technical fields of deep learning, large model, and natural language processing, and the like. The specific technical solution includes: obtaining description information of a resource to be commented on by understanding, based on the large model, the resource to be commented on; obtaining, based on the description information, comment information of the resource to be commented on, in which the comment information includes at least a comment video of the resource to be commented on; and displaying the comment video in a comment section.

Abstract: The disclosure provides a method and an apparatus for generating comment information based on a large model, an electronic device and a storage medium, relates to a technical field of artificial intelligence, and in particular to the technical fields of deep learning, large model, and natural language processing, and the like. The specific technical solution includes: obtaining description information of a resource to be commented on by understanding, based on the large model, the resource to be commented on; obtaining, based on the description information, comment information of the resource to be commented on, in which the comment information includes at least a comment video of the resource to be commented on; and displaying the comment video in a comment section. The intelligent generation of comment videos and texts is realized, improving the accuracy of the comment information, simplifying the comment generation process, and improving the speed of generating comments.

Abstract: A computer-implemented method for information processing includes: obtaining text information, in which the text information includes first text information of a resource to be commented on and second text information of a candidate prompt; selecting a target prompt from the candidate prompts based on the text information; and generating comment information of the resource to be commented on, based on the resource to be commented on and the target prompt.

Abstract: An obstacle positioning method, device and terminal are provided. The method includes determining installation positions of at least two detectors on a vehicle, and respective detection areas of the detectors, determining an overlapping area of the detection areas of the detectors, and if determining that an obstacle is located in the overlapping area, determining a position of the obstacle according to the installation positions of the detectors forming the overlapping area. By changing the number and positions of detectors installed on an unmanned vehicle, a plurality of overlapping areas of the detection areas of the detectors are obtained, the distribution of obstacles around the vehicle are optimally identified, so that the unmanned vehicle makes reasonable driving plans based on an accurate surrounding obstacle environment.

Abstract: An obstacle positioning method, device and terminal are provided. The method includes determining installation positions of at least two detectors on a vehicle, and respective detection areas of the detectors, determining an overlapping area of the detection areas of the detectors, and if determining that an obstacle is located in the overlapping area, determining a position of the obstacle according to the installation positions of the detectors forming the overlapping area. By changing the number and positions of detectors installed on an unmanned vehicle, a plurality of overlapping areas of the detection areas of the detectors are obtained, the distribution of obstacles around the vehicle are optimally identified, so that the unmanned vehicle makes reasonable driving plans based on an accurate surrounding obstacle environment.