技巧官方一手
Exowatt 用 SageMaker 无服务器微调超越前沿模型，成本降低至 1/49
Exowatt beats frontier models on accuracy with SageMaker serverless model customization
精选理由
Exowatt 用 SageMaker 无服务器微调做小模型，准确率超过前沿模型，成本只有 1/49，做法拆得很细。
Exowatt 使用 Amazon SageMaker AI 的无服务器模型定制功能，搭建了一条可复用的 AI 流水线，针对边缘和云端两类部署目标分别生成任务特定的微调模型。微调后的模型在准确率上超过前沿模型，成本最高降低 49 倍。文章展示了从数据准备到部署的完整流程，可作为微调工程实践的参考。
原文 · AWS Machine Learning Blog
Exowatt beats frontier models on accuracy with SageMaker serverless model customization
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.