The research team then used that data to fine-tune Qwen2.5-VL 32B via supervised fine-tuning, followed by reinforcement learning using a PPO-based semi-online asynchronous pipeline (200 steps, batch size 64, learning rate 1e-6). The resulting model achieved a 56.3% success rate on the OSWorld-Verified benchmark — competitive with existing methods for a 32B parameter base model with no task-specific tuning.
用户与AI伙伴分别承担特定身份，设有初始目标但无固定剧本，主线情节由AI根据前期内容持续推演生成。这种架构天然具备"无限延伸"特性：世界范围可无限拓展，故事情节可持续发展，用户能与固定伙伴体验迥然不同的人生篇章。
。钉钉对此有专业解读
weight_decay=weight_decay,，详情可参考豆包下载
six considerations on c code generation，这一点在zoom下载中也有详细论述