4 results about "Result Category" patented technology

The invention relates to a method for inspecting containers (2) made of transparent or translucent material in order to classify the containers, comprising a phase of use comprising:-for each container, a step of inspecting the containers (2); acquiring at least a first and a second image (Ic) of at least one given portion of the container in two different viewing directions and using at least one modality; providing, for each container, a record of at least a first and a second image of at least one portion of the container using at least one modality and in two different viewing directions as input to a deep learning model (NN); and for each container, analyzing the record by the deep learning model to determine from the list of categories the result category to which the container part belongs.

The application provides a large language model reinforcement learning system, a reinforcement learning method and related equipment, the system comprises: a management module for unified management and calling of multiple category value functions, specifically comprising: an environment registration unit for establishing a global registration table, storing environment functions and corresponding meta information and mapping relationship with value functions; an environment running unit for locating environment functions according to unique identification information and instantiating running environment, calling environment functions to obtain running results, and inputting the answers generated by the large language model into the value function for evaluation, obtaining reward results and result categories; an integration module for generating reward signals suitable for the reinforcement learning process based on the reward results of the value function and the reward results of the value model; a training module for updating the policy parameters of the large language model based on the reward signals. The application realizes unified calling of multiple heterogeneous running environments and improves the generalization ability of the model across tasks.

This invention relates to monitoring, and provides a method, apparatus, device, and storage medium for locating program execution problems. The method receives user requests, wherein the user request includes user identity information and execution information; generates an execution task based on the user identity information and the execution information; when the execution task is detected to be completed, obtains the response result of the execution task; performs multi-dimensional analysis on the response result to obtain the result category of the execution task in each dimension; if the result category includes a preset category, identifies the user who made the request, and obtains the input parameters of the user request from a preset message system based on the user; generates alarm information based on the input parameters and the preset category, which can accurately locate the operational problem encountered by the user. Furthermore, this invention also relates to blockchain technology, and the alarm information can be stored in the blockchain.

Provided are a content search method, apparatus, and device, and a storage medium. The present disclosure enables: receiving a search content; and displaying a plurality of answer viewpoints and first contents in a search result interface, wherein each answer viewpoint corresponds to one category of search results, the search results are results obtained by searching the search content, the first contents comprises keywords, the keywords are used for indicating reasons for displaying a target answer viewpoint among the plurality of answer viewpoints, and the keywords are extracted from a target category of search results corresponding to the target answer viewpoint.