与Heather Gorr一起部署边缘和嵌入式AI系统 - #655
分析
这篇文章来自Practical AI，讨论了将AI模型部署到硬件设备和嵌入式AI系统。文章采访了MathWorks的首席MATLAB产品市场经理Heather Gorr。对话涵盖了成功部署的关键方面，包括数据准备、模型开发和部署过程本身。文章重点介绍了设备约束、延迟要求、模型可解释性、鲁棒性和量化等关键考虑因素。文章还强调了仿真、验证、确认和MLOps技术的重要性。Gorr分享了来自汽车和石油天然气等行业的实际案例，提供了实际的背景信息。
引用 / 来源
查看原文"Factors such as device constraints and latency requirements which dictate the amount and frequency of data flowing onto the device are discussed, as are modeling needs such as explainability, robustness and quantization; the use of simulation throughout the modeling process; the need to apply robust verification and validation methodologies to ensure safety and reliability; and the need to adapt and apply MLOps techniques for speed and consistency."