AWS Machine Learning Blog· Nilesh PS·· 6 d ago
Accelerate multimodal RL training with SkyRL on Amazon SageMaker HyperPod
Accelerate multimodal RL training with SkyRL on Amazon SageMaker HyperPod
AI summary
Using the open-source SkyRL framework on Amazon SageMaker HyperPod, multimodal reinforcement learning post-training with GRPO increased the Qwen3-VL-8B vision-language model’s maze-solving success rate from 43.75% to over 95% on a fixed evaluation set of 64 mazes.
Selection record
Threshold 60Official, first-handFirst 31Second 22
Not admittedSum of both 53 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：多模态RL训练与模型部署教程
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com