Perplexity and NVIDIA introduce JOLT, a joint reinforcement learning method
Original titlePerplexity and NVIDIA Researchers Introduce JOLT: a Joint Teacher-Student Reinforcement Learning Method
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Summary
Perplexity and NVIDIA researchers introduced JOLT, a post-training method that uses one model as both teacher and student. On the MATH benchmark, JOLT matched GRPO's accuracy while processing 6.5 times fewer training tokens.
Original excerpt
Perplexity and NVIDIA introduced JOLT, a post-training method that trains one model as both teacher and student. On MATH it matched GRPO’s accuracy with 6.5x fewer processed training tokens. The post Perplexity and NVIDIA Researchers Introduce JOLT: a Joint Teacher-Student Reinforcement Learning Method appeared first on MarkTechPost.
#reinforcement learning#post-training#jolt