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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.
Multi-turn medical AI agents trained with RL tend to collapse into verbose, single-turn monologues, but a novel self-distillation method can restore multi-turn tool use and improve performance.
