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Fine-tuning GPT-OSS-20B for multilingual reasoning on Amazon SageMaker HyperPod

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Learn how we fine-tuned GPT-OSS-20B for multilingual reasoning on Amazon SageMaker HyperPod, and how to decide between supervised fine-tuning (SFT) and reinforcement learning with GRPO. SFT took reasoning-language accuracy from 22% to 100%, and GRPO added measurable gains where headroom existed.

Publisher's summary from AWS Machine Learning Blog. Read the full article on AWS Machine Learning Blog · More from AWS Machine Learning Blog

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