An artificial intelligence, AI, model development method, comprising: obtaining, by a development platform, platform indication information, service indication information, and parameter requirement information of a to-be-generated AI model, wherein the platform indication information is used to indicate a running platform on which the to-be-generated AI model is run, the service indication information is used to indicate a first service to be executed by the to-be-generated AI model, and the parameter requirement information is used to indicate a requirement on a performance parameter of the to-be-generated AI model; selecting, by the development platform from an operator database, a plurality of available operators that correspond to the running platform and that are used to execute the first service, wherein the operator database stores a plurality of operators used to generate an AI model; charaterised by: selecting, by the development platform, an operator from the plurality of available operators, and setting a parameter of the selected operator, to generate a first candidate policy, wherein the first candidate policy comprises a plurality of operators and is used to represent data processing logic of the to-be-generated AI model; performing, by the development platform, sample training on the first candidate policy to obtain a first candidate AI model; invoking, by the development platform, a simulator component of the running platform to run the first candidate AI model to execute processing on test data of the first service, so as to obtain a first running parameter; and if the first running parameter matches the parameter requirement information, determining, by the development platform, that the first candidate AI model is a target AI model. obtaining, by a development platform, platform indication information, service indication information, and parameter requirement information of a to-be-generated AI model, wherein the platform indication information is used to indicate a running platform on which the to-be-generated AI model is run, the service indication information is used to indicate a first service to be executed by the to-be-generated AI model, and the parameter requirement information is used to indicate a requirement on a performance parameter of the to-be-generated AI model; selecting, by the development platform from an operator database, a plurality of available operators that correspond to the running platform and that are used to execute the first service, wherein the operator database stores a plurality of operators used to generate an AI model; charaterised by: selecting, by the development platform, an operator from the plurality of available operators, and setting a parameter of the selected operator, to generate a first candidate policy, wherein the first candidate policy comprises a plurality of operators and is used to represent data processing logic of the to-be-generated AI model; performing, by the development platform, sample training on the first candidate policy to obtain a first candidate AI model; invoking, by the development platform, a simulator component of the running platform to run the first candidate AI model to execute processing on test data of the first service, so as to obtain a first running parameter; and if the first running parameter matches the parameter requirement information, determining, by the development platform, that the first candidate AI model is a target AI model. selecting, by the development platform, an operator from the plurality of available operators, and setting a parameter of the selected operator, to generate a first candidate policy, wherein the first candidate policy comprises a plurality of operators and is used to represent data processing logic of the to-be-generated AI model; performing, by the development platform, sample training on the first candidate policy to obtain a first candidate AI model; invoking, by the development platform, a simulator component of the running platform to run the first candidate AI model to execute processing on test data of the first service, so as to obtain a first running parameter; and if the first running parameter matches the parameter requirement information, determining, by the development platform, that the first candidate AI model is a target AI model.