AWS adds SageMaker training session APIs for custom LLM training loops
AIAWS introduces SageMaker AI training session APIs, which let users write their own training loop in Python while SageMaker runs the GPU work. The post walks through a GRPO example on GSM8K, where a LoRA adapter for GPT-OSS 20B rose from 56 percent to 75 percent accuracy on held-out problems over 10 steps.
AIWhy it matters.
The post shows how a custom GRPO loop maps onto managed GPU operations, with a worked GSM8K example and a code-execution reward case that helps readers judge fit for their own training.
Source details
AWS Machine Learning Blog · Nicolas Jourdan · aws.amazon.comPublished · added here
Original title: Write your own training loop — without managing GPUs — with Amazon SageMaker training session APIs