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1. Oct 22
   AWS makes SageMaker AI training sessions generally available

   AWS announced the general availability of training sessions within Amazon SageMaker AI serverless model customization, letting developers write and coordinate their own post-training loop in Python — including custom loss functions or reward signals — while SageMaker AI handles GPU allocation, distributed execution, fault recovery and checkpoint storage. The launch supports gpt-oss-20b, gemma-4-31B-it, Qwen3.6-27B and Qwen3.8-27B, and AWS released a cookbook with ready-to-run SFT and RL recipes. AWS reports that a rank-32 LoRA adapter for GPT-OSS 20B trained for 50 steps on GSM8K rose from 0.46 to 0.60 training reward and from 40% to 50.5% held-out accuracy, figures the vendor supplied without independent replication.

   AWS Machine Learning Blog · 🔥 0

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