While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...
让大模型轻松处理比自身上下文窗口长两个数量级的超长文本! MIT CSAIL 研究团队提出了一种叫做递归语言模型 RLM的长文本处理新方法,来解决上下文腐烂问题。 不修改模型架构、不升级模块设计,但能让 GPT-5、Qwen-3 ...
不管大模型宣称自己的上下文窗口有多大,它们处理超长文本时,都会遇到文本越长,模型对早期信息的记忆越模糊,推理性能直线下滑的问题。 比如,GPT-5.2-Codex采用的就是窗口内的原生上下文压缩技术,在持续数周的大型代码仓库协助任务中保持全上下文信息 ...
在人工智能领域,处理超长文本一直是一个棘手的问题。MIT计算机科学与人工智能实验室(CSAIL)最近发布的研究成果,提出了一种名为递归语言模型(RLM)的新方法,成功让大模型在不改变架构的情况下,解锁了千万级的上下文处理能力。这一创新将极大提高如GPT-5和Qwen-3等顶尖模型的推理效率,开启了大模型处理文本的新纪元。
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在真实工程项目中,不使用 LangChain、LangGraph、CrewAI 等框架,纯用 Python + LLM API 手动实现 AI Agent 不仅完全可行,而且在许多场景下是更优选择。 Anthropic 官方明确建议开发者”从直接使用 ...
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When writing or testing Python scripts, your terminal can quickly become cluttered with logs, debug messages, and outputs. A clean console not only improves readability but also helps you stay focused ...
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