Exowatt beats frontier models on accuracy with SageMaker serverless model customization

原文摘要 · 中英对照

In this post, we show how Exowatt used Amazon SageMaker AI serverless model customization to build a repeatable AI pipeline that produces task-specific fine-tuned models for two deployment targets, edge and cloud, achieving higher accuracy than frontier models at up to 49x lower cost.

在这篇文章中，我们展示 Exowatt 如何使用 Amazon SageMaker AI 无服务器模型定制构建可重复的 AI 流水线，为边缘和云端两个部署目标生成任务专用的微调模型，以最高低 49 倍的成本实现比前沿模型更高的准确率。