Prominently featured in The Inner Circle, Joshua Curtis Kuffour is acknowledged as a Pinnacle Professional Member Inner Circle of Excellence for his contributions to Advancing Energy Systems ...
While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
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复旦大学团队突破:AI代码智能体如何应对真实世界后端开发的完整 ...
这项由复旦大学、上海齐冀智风科技有限公司和上海创新研究院联合完成的研究发表于2026年1月,论文编号为arXiv:2601.11077v1。研究团队开发了名为ABC-Bench的全新评估基准,专门测试AI代码智能体在真实后端开发场景中的综合能力。
Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance ...
Overview This article explains why cryptography skills are critical and covers courses that include encryption, Zero Trust ...
For the last few years, the narrative around Generative AI in science has largely focused on administrative efficiency – ...
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。
在人工智能日新月异的时代,如何让大模型更高效地处理长文本成为了研究者们关注的焦点。最近,麻省理工学院计算机科学与人工智能实验室(MIT CSAIL)提出了一种革命性的递归语言模型(Recursive Language Model,RLM),旨在解决大模型在处理超长文本时所面临的上下文腐烂问题。这项研究的核心理念是:不对模型的架构进行改动,依然能够让像GPT-5和Qwen-3这样的顶尖模型处理多达千 ...
I've worked with AI for decades and have a master's degree in education. Here are the top free AI courses online that I recommend - and why.
An initiative of the Ministry of Education, SWAYAM allows students, professionals, among others, to upskill, reskill and ...
Pacific Northwest National Labs trains an AI system, dubbed ALOHA, to recreate attacks and test them against organizations' ...
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