How GRPO Trains Small Language Models with Verifiable Rewards
中文摘要
本文介绍了如何利用 GRPO 和可验证奖励提升小模型的推理能力，并强调奖励函数设计的重要性。
English Summary
This article explains how GRPO uses verifiable rewards to improve small language model reasoning, emphasizing the critical importance of reward function design.
Original Excerpt
The mechanics behind local reasoning experiments with Unsloth and why the reward function matters as much as the model. The post How GRPO Trains Small Language Models with Verifiable Rewards appeared first on Towards Data Science.