robust, scalable models

界面语言: zh

📖 释义

稳健且可扩展的模型; 高可用与高扩展性系统

EN: Computational models or algorithms that are resilient to errors, noise, and unexpected inputs (robust) while also being capable of maintaining performance and efficiency as the volume of data or user load increases significantly (scalable).; A technical requirement in machine learning and software engineering referring to systems that can handle high availability and fault tolerance alongside horizontal or vertical growth without degradation.

As industries worldwide seek to integrate AI into their operations, the need for robust, scalable models has never been greater.

随着全球各行业寻求将人工智能整合到其运营中，对稳健且可扩展模型的需求从未如此迫切。
The engineering team focused on deploying robust, scalable models to support millions of concurrent users during peak traffic hours.

工程团队专注于部署稳健、可扩展的模型，以在高峰时段支持数百万并发用户。