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Principled replay selection can significantly cut down wall-clock time in RL training while maintaining or even improving performance metrics.
Solar Open 2 outperforms its predecessors and competitors with a groundbreaking 1M-token context window, redefining the capabilities of large language models in agentic tasks.
