A kind of AI application development method and system
An application development system and application development technology, applied in special data processing applications, instruments, software design, etc., can solve the problems of cumbersome development, lack of talents, and obstacles to the implementation of AI technology, so as to simplify the development process, standardize the development process, and improve The effect of convenience
Active Publication Date: 2022-06-07
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 Figures 1 through 2 As shown, a preferred embodiment of an AI application development method of the present invention, comprising the following steps:
[0040] Step S10, create a template library, the template library stores a number of AI algorithm templates and the order of call of each AI algorithm template; The AI algorithm template is used to generate the corresponding code file based on the configuration data; The call sequence is a data source template→ a data preprocessing template→ a feature engineering template→ a business model template→ a prediction output template;
[0041] Step S20, configure the configuration data required for AI application development, call the AI algorithm template sequentially based on the call sequence, and map the configuration data to the node of the AI algorithm template;
[0042] Step S30, the AI algorithm template mapped the configuration data is verified;
[0043] Step S40, using each of the AI algorithm templates t...
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The present invention provides an AI application development method and system in the technical field of AI application development. The method includes the following steps: step S10, creating a template library, the template library stores several AI algorithm templates and the call of each AI algorithm template Sequence; step S20, configure the configuration data required for AI application development, call the AI algorithm template in sequence based on the calling sequence, and map the configuration data into the AI algorithm template; step S30, map the configuration data AI algorithm templates perform data verification; step S40, use each of the AI algorithm templates to convert configuration data into code files; step S50, combine each of the above code files to form an AI application and publish it. The invention has the advantages of greatly improving the convenience of AI application development, lowering the threshold of AI application development, and further reducing the cost of AI application development.
Description
Technical field [0001] The present invention relates to the field of AI application development technology, specifically refers to an AI application development method and system. Background [0002] In recent years, with the continuous maturity of AI technology, enterprises have transformed to AI and gradually realized business intelligence, and from the perspective of long-term interests, enterprises are more inclined to build their own AI applications. However, in the process of self-built AI applications, enterprises are facing multiple thresholds such as cognition, data, talents, tools, and technologies, which hinder the landing 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 it is very scarce, and it takes 6-10 years to cultivate a qualified AI talent, resulting in a lack of compound talents in AI application development, and differe...
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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