研究人员提出的递归语言模型（Recursive Language Models, RLMs）通过引入Python交互环境，让模型学会写代码去分块读取、检索并递归调用自身处理信息，成功在千万级Token的超长文本任务中实现了性能与成本的双重突破。

Decode the AI buzzwords you see daily. Learn 10 essential terms, such as model, tokens, prompt, context window, and ...

In 1993, the first exchange traded fund was launched. At the time, most of Wall Street shrugged. Mutual funds dominated, brokers reigned supreme, and the idea that investors would flock to a new ...

腾讯微信 AI 团队提出 WeDLM（WeChat Diffusion Language Model），通过在标准因果注意力下实现扩散式解码，在数学推理等任务上实现相比 vLLM 部署的 AR 模型 3 倍以上加速，低熵场景更可达 10 ...

2025年的最后一天， MIT CSAIL提交了一份具有分量的工作。当整个业界都在疯狂卷模型上下文窗口（Context ...

采访 | 张红月 嘉宾｜刘童璇出品 | CSDN（ID：CSDNnews）2025 年，AI 基础设施（AI Infra）告别了技术概念的空谈模式，转入了由成本和效率定义的残酷现实。在 3 月，DeepSeek 抛出了一个极具冲击力的事实：基于其 ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

The government has been urged to acknowledge the shifting opinions and sensitivities of the British public towards gambling ...

Run oprn source Chatterbox on CPU or GPU with Python 3.11 with watermarking support, giving creators fast, traceable voice ...

在2025华为开发者大赛暨开发者年度会议上，华为高级副总裁、华为云CEO周跃峰面向数百名开发者，直指当前人工智能领域存在的“泡沫化”倾向。他强调，AI技术不能止步于满足情绪价值，必须成为推动社会生产力跃升的核心引擎。这位新任华为云掌舵人首次系统阐述了 ...

在人工智能领域，大公司凭借资源优势引领技术浪潮，而小型创业团队和高校研究机构正面临新的挑战。随着预训练阶段逐渐饱和，如何让模型从“记忆数据”转向“理解推理”成为行业焦点。强化学习被视为突破这一瓶颈的关键技术，但其高昂的算力需求和复杂的工程实现，长期制约着中小团队的发展。近期，一支中国科研团队推出的后训练平台，正试图改变这一局面。 由95后科学家主导的Mind Lab团队，发布了名为MinT（Min ...

Breakfast specials that include eggs, meat, potatoes, and toast can still be found for under $12, a price point that feels increasingly rare. Lunch specials offer similar value, with sandwiches and a ...