Abstract: A computer-implemented method for recommending a large model interface configuration includes: obtaining a search space of a model interface configuration and a test data set, wherein the search space comprises at least one candidate model interface and a value range of a hyperparameter; and obtaining a plurality of model interface configuration sets based on the search space, wherein each model interface configuration set comprises a candidate model interface and a value of the hyperparameter; and obtaining a test result corresponding to each model interface configuration set, by using the test data set to test a large model called based on each model interface configuration set; and determining a target interface configuration based on the test results corresponding to the plurality of model interface configuration sets.

Abstract: An apparatus and a method for executing a customized production line using an artificial intelligence development platform, a computing device and a computer readable storage medium are provided. The apparatus includes: a production line executor configured to generate a native form of the artificial intelligence development platform based on a file set, the native form to be sent to a client accessing the artificial intelligence development platform so as to present a native interactive page of the artificial intelligence development platform; and a standardized platform interface configured to provide an interaction channel between the production line executor and the artificial intelligence development platform. The production line executor is further configured to generate an intermediate result by executing processing logic defined in the file set and to process the intermediate result by interacting with the artificial intelligence development platform via the standardized platform interface.

Abstract: Embodiments of the present disclosure provide an AI capability research and development platform and a data processing method. The AI capability research and development platform includes: a data management module, a tool management module, a process management module and a model management module, where the data management module is configured to perform data processing on received data, including at least one of the following: analyzing data type of the data, converting the data according to preset data format and storing the data; the tool management module is configured to store at least one tool, each tool being used to execute a preset processing flow; the process management module is configured to perform model training according to the tool provided by the tool management module and the data provided by the data management module; the model management module is configured to store a model obtained by the model training.

Abstract: An apparatus and a method for executing a customized production line using an artificial intelligence development platform, a computing device and a computer readable storage medium are provided. The apparatus includes: a production line executor configured to generate a native form of the artificial intelligence development platform based on a file set, the native form to be sent to a client accessing the artificial intelligence development platform so as to present a native interactive page of the artificial intelligence development platform; and a standardized platform interface configured to provide an interaction channel between the production line executor and the artificial intelligence development platform. The production line executor is further configured to generate an intermediate result by executing processing logic defined in the file set and to process the intermediate result by interacting with the artificial intelligence development platform via the standardized platform interface.

Abstract: The present disclosure relates to a system and a method of allocating orders. The system may include a non-transitory computer readable storage medium and a processor. The non-transitory computer may store an executable module. The processor may execute the executable module stored in the computer readable storage medium. The non-transitory computer readable storage medium may include a receiving unit (231) and an order allocation unit (361). The receiving unit (231) may receive order information and user information. The user information may include location information and/or time information. The order allocation unit (361) may allocate an order based on the location information and/or the time information. The method may include receiving order information and user information, wherein the order information and the user information may include location information and/or time information, and allocating an order based on the location information and/or the time information.

Abstract: The present disclosure relates to systems and methods for carpooling. The systems may perform the methods to obtain a first transaction request associated with a first transportation service of a first service receiver at a first time point; obtain a second transaction request associated with a second transportation service of a second service receiver at a second time point; obtain service provider information of a service provider; determine an assignment strategy associated with combining the first transportation service and the second transportation service into a third transportation service according to at least one of the first transaction request, the second transaction request, or the service provider information; and send the assignment strategy to at least one of the first service receiver, the second service receiver or the service provider.

Abstract: The present disclosure relates to a system and a method of allocating orders. The system may include a non-transitory computer readable storage medium and a processor. The non-transitory computer may store an executable module. The processor may execute the executable module stored in the computer readable storage medium. The non-transitory computer readable storage medium may include a receiving unit (231) and an order allocation unit (361). The receiving unit (231) may receive order information and user information. The user information may include location information and/or time information. The order allocation unit (361) may allocate an order based on the location information and/or the time information. The method may include receiving order information and user information, wherein the order information and the user information may include location information and/or time information, and allocating an order based on the location information and/or the time information.

Abstract: Embodiments of the present disclosure provide an AI capability research and development platform and a data processing method. The AI capability research and development platform includes: a data management module, a tool management module, a process management module and a model management module, where the data management module is configured to perform data processing on received data, including at least one of the following: analyzing data type of the data, converting the data according to preset data format and storing the data; the tool management module is configured to store at least one tool, each tool being used to execute a preset processing flow; the process management module is configured to perform model training according to the tool provided by the tool management module and the data provided by the data management module; the model management module is configured to store a model obtained by the model training.

Abstract: The present disclosure provides a method for an authentication system to provide authentication information for a web page, comprising: receiving a request for authentication information from a web page; judging whether the web page is redirected to through a relevant search engine; judging whether the web page satisfies a condition of displaying the authentication information; and providing the authentication information to the web page satisfying the condition. By providing authentication information to a web site through a search engine, with the combination of the authentication system with the relevant search engine, the reliability and security of authentication information are enhanced. Besides, the user may autonomously edit and manage the displaying pattern of the authentication information, such that the authentication information may be displayed in real time on the web page.

Abstract: The present disclosure relates to systems and methods for carpooling. The systems may perform the methods to receive a first intention for a first transportation service of a first subject from a first service requester at a first service intention time; identify an available service provider at the first service intention time; send the service provider a first time point to arrive at a pick-up location and a wait time to stop at the pick-up location before departing from the pick-up location; and send the first service requester a second time point to arrive at the pick-up location.

Abstract: The present disclosure relates to systems and methods for carpooling.

Abstract: The present disclosure relates to systems and methods for carpooling. The systems may perform the methods to obtain a first transaction request associated with a first transportation service of a first service receiver at a first time point; obtain a second transaction request associated with a second transportation service of a second service receiver at a second time point; obtain service provider information of a service provider; determine an assignment strategy associated with combining the first transportation service and the second transportation service into a third transportation service according to at least one of the first transaction request, the second transaction request, or the service provider information; and send the assignment strategy to at least one of the first service receiver, the second service receiver or the service provider.

Abstract: The present disclosure provides a method for an authentication system to provide authentication information for a web page, comprising: receiving a request for authentication information from a web page; judging whether the web page is redirected to through a relevant search engine; judging whether the web page satisfies a condition of displaying the authentication information; and providing the authentication information to the web page satisfying the condition. By providing authentication information to a web site through a search engine, with the combination of the authentication system with the relevant search engine, the reliability and security of authentication information are enhanced. Besides, the user may autonomously edit and manage the displaying pattern of the authentication information, such that the authentication information may be displayed in real time on the web page.

Abstract: The present disclosure relates to a system and a method of allocating orders. The system may include a non-transitory computer readable storage medium and a processor. The non-transitory computer may store an executable module. The processor may execute the executable module stored in the computer readable storage medium. The non-transitory computer readable storage medium may include a receiving unit (231) and an order allocation unit (361). The receiving unit (231) may receive order information and user information. The user information may include location information and/or time information. The order allocation unit (361) may allocate an order based on the location information and/or the time information. The method may include receiving order information and user information, wherein the order information and the user information may include location information and/or time information, and allocating an order based on the location information and/or the time information.