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Training on environments synthesized from real-world business scenarios boosts agent performance on both enterprise tasks and diverse benchmarks, revealing a new frontier in scalable RL training.
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.
