Training a single transformer layer can achieve performance comparable to full-parameter reinforcement learning (RL) training. This finding suggests that RL adaptation may not require uniform updates across all layers of large language models.
arxiv.org
2 min
7h ago
Training a single transformer layer can achieve performance comparable to full-parameter reinforcement learning (RL) training. This finding suggests that RL adaptation may not require uniform updates across all layers of large language models.
arxiv.org
2 min
7h ago
Training a single transformer layer can achieve performance comparable to full-parameter reinforcement learning (RL) training. This finding suggests that RL adaptation may not require uniform updates across all layers of large language models.
arxiv.org
2 min
7h ago
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