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Perplexity's JOLT matches GRPO accuracy on MATH with 6.5x fewer tokens

AIPerplexity researchers developed JOLT, a post-training method in which one model serves as both teacher and student, with the teacher trained to give feedback the student can use. On MATH, JOLT matched GRPO's accuracy while using 6.5x fewer training tokens.
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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

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Perplexity · x.comPublished

Original title: New research: We developed JOLT, a post-training method where one model acts as both teacher and student, with the teacher trained to giv...