Abstract: Embodiments are described for a code generating system comprising a memory and at least one processor coupled to the memory. The at least one processor is configured to receive an instruction to generate a source code and retrieve the code profile from a profile manager. The instruction include a user description and information of a code profile. The at least one processor is further configured to generate a first command by combining the user description and the code profile and transmit the first command to an artificial intelligence (AI) proxy. Finally, the at least one processor is configured to receive the source code from the AI proxy and transmit the source code to a user device.

Abstract: A plurality of component models in a multi-layer composite model are trained using historical production data of a production equipment set. Current production data is input to the composite model; and an adjustment value of a factor is obtained and provided to a piece of equipment. The historical production data includes values of a plurality of factors related to an operating condition within a period of time. An output and input factor of each component model are factors with a parent-child relationship among the plurality of factors. The output factor is a production efficiency index of the production equipment set. In two adjacent layers of the composite model, the output factor of a first layer is the input factor of one or more component models of a second layer. The adjustment value is a value of one or more factors making a predicted value satisfy a condition.