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Stop wasting compute: this RL-trained orchestration policy adaptively decides when your embodied agent should reason with an LLM, slashing latency and boosting task success compared to fixed strategies.
World models can now effectively simulate complex desktop software environments like Microsoft Office, enabling agents to reason about actions before execution and significantly improving performance.
Moxin 7B and its variants (VLM, VLA, Chinese) offer a new suite of fully transparent, open-source multimodal models, pushing beyond simple weight sharing to enable deeper customization and collaborative research.
