AI短剧迎来“拿到大结果”时刻？券商看好产业链价值重估 平台与IP端有望受益

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AI短剧迎来“拿到大结果”时刻？券商看好产业链价值重估 平台与IP端有望受益

聚变装置多类诊断信号进入同一个生成模型

托卡马克实验同时记录波形、空间分布、场和标量，不同分析任务通常各自选择一部分信号建模。GenToka团队为各类信号设置独立编解码方式，再由同一条件扩散模型生成任务需要的目标。研究也扩展了TokaMark测试，包括从观测反推执行器动作以及预测放电破裂，共形成六组、20项基于MAST实验装置数据的任务。 Yingshuai Ji等人的这项研究收录在11月6日更新的计算机科学预印本列表中。

与TokaMind相比，GenToka在前四组的宏平均归一化均方根误差降低4.7%，第五组降低17.7%。第六组沿用在验证集选择的共同阈值，按时间窗口统计的宏平均F1提高8.4%。这些指标对应不同任务，不能直接相加。研究表明同一模型可以复用不同诊断信号间的信息，实验数据上的预测结果还不等同于已在聚变装置上进行实时闭环控制。

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