Perplexity and NVIDIA researchers introduce JOLT learning method
Original title: Perplexity and NVIDIA Researchers Introduce JOLT: a Joint Teacher-Student Reinforcement Learning Method
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A MarkTechPost headline says Perplexity and NVIDIA researchers introduced JOLT, described as a joint teacher-student reinforcement learning method. The fetched page contains only cookie-consent text, not the paper or method details. No benchmarks, code, or availability claims can be taken from the text.
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- JOLT is named as joint on-policy teacher-student learning.
- Researchers are attributed to Perplexity and NVIDIA.
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- Organizations
- PerplexityNVIDIA
From the original article
14 min read at marktechpost.comPerplexity 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.
By Asif Razzaq · marktechpost.com
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