Announcing new ways to customize models with SageMaker AI, without managing GPUs
Amazon SageMaker AI serverless model customization now includes training sessions, generally available today. You write and coordinate your own post-training loop (custom loss functions, reward signals, or multi-turn reinforcement learning) while SageMaker AI handles GPU allocation, distributed execution, fault recovery, and checkpoint storage.
阅读原文 · AWS 机器学习博客本文由 SoccerDream AI 自动聚合索引，内容版权归原作者与 AWS 机器学习博客 所有。
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