RadarAI· X:阶跃星辰 StepFun (@StepFun_ai)·· 2 天前AI 评分52
阶跃星辰发布 Step 5 Preview 技术博客,详解智能体任务的架构与训练设计
AI 导读
阶跃星辰发布技术博客《Inside Step 5 Preview: Architecture and Training for Agentic Work》,介绍架构与训练如何协同设计以支持更长、更复杂的智能体任务。
正文 · 原文
StepFun· @StepFun_ai · X·2026-10-15 21:00· 2 小时前AI 评分56
AI 导读
阶跃星辰发布技术博客《Inside Step 5 Preview: Architecture and Training for Agentic Work》,介绍架构与训练如何协同设计以支持更长、更复杂的智能体任务。
正文
Our technical blog, "Inside Step 5 Preview: Architecture and Training for Agentic Work," covers how architecture and training were co-designed for longer, more complex agent tasks:
- 92-layer narrow-and-deep architecture for implicit multi-hop reasoning
- Sparse GQA to cut million-token context cost, with 8-token block indexing reducing indexing and top-k overhead to 1/8
- FP32 precision on key states plus fine-grained gradient clipping for stable training
- Million-scale verifiable environments
- RL for long-horizon tasks with context compression built into policy training
https://platform.stepfun.ai/blog/inside-step-5-preview
来源:StepFun · x.com
来源:RadarAI · aihot.news