ResearchLatent Space

[AINews] Death of Params: Z.ai CEO Jie Tang on GLM 5.3 and the new Post-training Scaling Law

#ai#model#scaling#reinforcement learning#engineering

English

Z.ai CEO Jie Tang emphasizes that the parameter count of AI models is not the sole metric for assessing their capabilities. In his discussion of GLM 5.3, he introduces the concept of post-training scaling laws, highlighting the importance of data, compute resources, and the conditions under which models operate. The new model demonstrates significant advancements through reinforcement learning in complex environments that mimic real-world engineering tasks.

中文

Z.ai 首席执行官唐杰强调，AI 模型的参数数量并不是评估其能力的唯一指标。在他对 GLM 5.3 的讨论中，他引入了后训练扩展法则的概念，强调数据、计算资源以及模型运行条件的重要性。新模型通过强化学习在模拟真实工程任务的复杂环境中展示了显著的进步。