AI 导读
新研究：我们开发了 JOLT，一种后训练方法，让同一个模型同时充当教师和学生，教师经过训练以给出学生能用的反馈。 在 MATH 上，它以 6.5 倍更少的训练 token 达到了与 GRPO 相当的准确率。 https://www.perplexity.ai/hub/blog/a-good-teacher-meets-the-student-where-they-are
正文
New research: We developed JOLT, a post-training method where one model acts as both teacher and student, with the teacher trained to give feedback the student can use.
On MATH, it matched GRPO's accuracy with 6.5x fewer training tokens.
https://www.perplexity.ai/hub/blog/a-good-teacher-meets-the-student-where-they-are
来源：Perplexity · x.com