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

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.

Read the full story at AWS Machine Learning Blog ↗

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  1. 2026-10-20 17:48 · AWS Machine Learning Blog
    Fine-tuning GPT-OSS-20B for multilingual reasoning on Amazon SageMaker HyperPod

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