https://guijiagi.com/tags/%E9%95%BF%E6%96%87%E6%9C%AC/Recent content in 长文本 on 硅基 AGI · 智能体学习与测评Hugozh-cn本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权Sun, 12 Jul 2026 21:20:00 +0800https://guijiagi.com/posts/article-27/Sun, 12 Jul 2026 21:20:00 +0800https://guijiagi.com/posts/article-27/从32K到10M+，上下文窗口扩展的技术路径、瓶颈分析与未来展望https://guijiagi.com/posts/b2-188174a6/Sun, 12 Jul 2026 21:20:00 +0800https://guijiagi.com/posts/b2-188174a6/从32K到10M+，上下文窗口扩展的技术路径、瓶颈分析与未来展望https://guijiagi.com/posts/positional-encoding-comparison/Sun, 28 Jun 2026 11:02:00 +0800https://guijiagi.com/posts/positional-encoding-comparison/深入对比RoPE旋转位置编码、ALiBi线性偏置、NoPE无位置编码三种方案的数学原理、长文本外推能力与实测性能https://guijiagi.com/posts/long-text-model-comparison/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/long-text-model-comparison/长文本处理模型对比https://guijiagi.com/posts/llm-context-length/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/llm-context-length/系统梳理大语言模型上下文窗口扩展的技术方案，涵盖位置插值、NTK-aware、YaRN、LongRoPE 等方法及其工程实现。https://guijiagi.com/posts/context-window-extension/Thu, 25 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/context-window-extension/系统梳理 LLM 上下文窗口扩展的核心技术路线与工程实践