生成技术在人工智能平台中的应用探索

Application and exploration of automatic generation technology in artificial intelligence platform

随着人工智能(AI)技术的发展,AI应用进入了快速普及期,面对快速增长的市场需求,AI平台有必要引入自动化方法提升开发效率。在分析生成技术研究进展、AI平台现状及挑战的基础上,基于生成技术实现了AI平台的前后端适配、性能优化、模型安全提升等核心工作的自动化。新方法可以根据上下文的需要,生成数据或代码,以一种更灵活的方式满足AI应用及内核优化的需求,避免了大量的手工工作,有效提升了开发效率,降低了开发成本。

With the development of artificial intelligence (AI) technology,AI applications have entered a period of rapid popularization,facing the rapidly growing market demand,it is necessary for AI platforms to use automated methods to improve development efficiency.Based on the analysis of the research progress of generation technology,the status quo and challenges of AI platform,based on generation technology,the automation of AI platform’s front and rear end adaptation,performance optimization,and model security enhancement were realized,which can generate data or code according to the needs of the context and to meet the requirements in a more flexible way.It can also avoid a lot of manual work and can effectively improve development efficiency and reduce development cost.