AI application development method and system
An application development system and application development technology, applied in special data processing applications, program code conversion, digital data protection, etc., can solve problems such as cumbersome development, lack of talents, hindering the implementation of AI technology, and simplify the development process and standardize development. Process, the effect of improving convenience
Active Publication Date: 2021-04-20
FUJIAN NEWLAND SOFTWARE ENGINEERING CO LTD
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Problems solved by technology
However, in the process of self-built AI applications, enterprises face multiple thresholds such as cognition, data, talents, tools, and technologies, which hinder the implementation of AI technology in enterprises
[0003] Taking talents as an example, the annual salary of talents with AI professional background knowledge and research experience is several million, and they are very scarce, and it takes 6-10 years to train a qualified AI talent, resulting in the lack of compound talents in AI application development , and different people have different methods of AI application development, and knowledge cannot be inherited; in the process of AI application development, data labeling, screening, model training, and deployment are all very cumbersome tasks; for example, models need to repeatedly adjust parameters, A training iteration takes days or even a week, and a good model requires multiple iterations, making the training cycle very long
That is, traditional AI application development is very cumbersome and lacks talents, resulting in high cost of AI application development
Method used
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[0039] Please refer to Figure 1 to Figure 2 As shown, a preferred embodiment of an AI application development method of the present invention includes the following steps:
[0040] Step S10, create a template library, the template library stores several AI algorithm templates and the call sequence of each AI algorithm template; the AI algorithm template is used to generate corresponding code files based on configuration data; the call sequence is data Source template → data preprocessing template → feature engineering template → business model template → prediction output template;
[0041] Step S20, configuring the configuration data required for AI application development, sequentially calling the AI algorithm template based on the calling sequence, and mapping the configuration data to the nodes of the AI algorithm template;
[0042] Step S30, performing data verification on the AI algorithm template mapped with the configuration data;
[0043] Step S40, using ea...
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The invention provides an AI application development method and system in the technical field of AI application development, and the method comprises the following steps: S10, building a template library which stores a plurality of AI algorithm templates and the call sequence of each AI algorithm template; S20, configuring configuration data required by AI application development, sequentially calling AI algorithm templates based on the calling sequence, and mapping the configuration data into the AI algorithm templates; S30, performing data check on the AI algorithm template mapped with the configuration data; S40, converting the configuration data into a code file by utilizing each AI algorithm template; and S50, combining the code files to form an AI application, and publishing the AI application. The method has the advantages that the convenience of AI application development is greatly improved, the threshold of AI application development is reduced, and then the cost of AI application development is reduced.
Description
technical field [0001] The present invention relates to the technical field of AI application development, in particular to an AI application development method and system. Background technique [0002] In recent years, with the continuous maturity of AI technology, enterprises have transformed to AI and gradually realized business intelligence. In terms of long-term benefits, enterprises are more inclined to build their own AI applications. However, in the process of self-built AI applications, enterprises face multiple thresholds such as cognition, data, talents, tools, and technologies, which hinder the implementation of AI technology in enterprises. [0003] Taking talents as an example, the annual salary of talents with AI professional background knowledge and research experience is several million, and they are very scarce, and it takes 6-10 years to train a qualified AI talent, resulting in the lack of compound talents in AI application development , and different pe...
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IPC IPC(8): G06F8/20G06F8/40G06F16/215G06F21/64
CPCY02D10/00
Inventor 李立泓林诚汉闫二乐陈立峰林俊德
Owner FUJIAN NEWLAND SOFTWARE ENGINEERING CO LTD