former关键词检索结果

从 TF-IDF 到 Transformers:实现四代语义搜索

From TF-IDF to Transformers: Implementing Four Generations of Semantic Search

语义搜索如何从简单的关键字匹配演变为现代基于转换器的语言理解?这篇实践文章使用 Python 逐步构建了四代语义搜索系统。从 TF-IDF 到 Transformers:实现四代语义搜索的帖子首先出现在 Towards Data Science 上。

央行的教训:克里斯汀·福布斯访谈

Lessons for Central Banks: Interview with Kristin Forbes

Thomas Chow poses the questions in “Kristin Forbes on ‘wargaming’ for thenext crisis,” subtitled “The MIT professor and former BoE MPC member speaks about QE, scenario analysis and the ar of conducting monetary policy in the ‘fog of war'” (Central Banking, May 14, 2026, free registration required).

Inflation targeting framework should have included ‘exchange rate stability’ clause: Former RBI Governor Subbarao

Inflation targeting framework should have included ‘exchange rate stability’ clause: Former RBI Governor Subbarao

Duvvuri Subbarao 强调需要解决政策和结构性问题,以确保资本持续流动

240 亿美元特种作战预算的案例

The case for a $24 Billion Special Operations budget

SOCOM’s budget has been flat since FY2019, but demand for SOF capabilities has risen 300 percent in the past five years, argue former acting SecDef Chris Miller and Phil Anderson of SOF Action.

加尔各答高等法院命令警方确保孟加拉投票后暴力受害者安全返回

Calcutta HC orders police to ensure safe return of post-poll violence victims in Bengal

加尔各答高等法院已命令警方维持法律和秩序,并确保任何被非法驱逐出西孟加拉邦商店或住宅的人安全返回。 This directive comes after allegations of post-poll violence, with former Chief Minister Mamata Banerjee appearing in court.

使用变压器预测极其罕见的太阳耀斑

Using Transformers to Forecast Incredibly Rare Solar Flares

机器学习如何针对罕见事件做出改变使用 Transformers 来预测极其罕见的太阳耀斑一文首先出现在 Towards Data Science 上。

随机 KV 路由:启用自适应深度缓存共享

Stochastic KV Routing: Enabling Adaptive Depth-Wise Cache Sharing

为高吞吐量的 Transformer 语言模型提供服务需要缓存键值 (KV),以避免自回归生成过程中的冗余计算。 KV 缓存的内存占用量很大,并且严重影响服务成本。这项工作旨在减少这些内存需求。虽然最近的工作主要通过沿时间轴的压缩和驱逐来减少 KV 缓存,但我们认为深度维度提供了一种正交且稳健的优化途径。尽管之前的研究表明每个层的完整缓存是多余的,但实现......

Timer-XL:用于时间序列预测的长上下文基础模型

Timer-XL: A Long-Context Foundation Model for Time-Series Forecasting

探索仅解码器 Transformer 基础模型的内部工作原理后置 Timer-XL:用于时间序列预测的长上下文基础模型首先出现在 Towards Data Science 上。

IEEE Transactions on Neural Networks and Learning Systems,第 37 卷,第 5 期,2026 年 5 月

IEEE Transactions on Neural Networks and Learning Systems, Volume 37, Issue 5, May 2026

1) Deep Model Fusion: A Survey 作者:W. Li, Y. Peng, M. Zhang, L. Ding, H. Hu, L. ShenPages: 2008 - 20242) Survey on Efficient Large Language Model:principles, Algorithms, Applications, and Open Issues作者:J. Cheng, H. Kang, Y. Shao, N. Li, P. Chen, R. Wang, S. Long, X. Yang, L. 页数: 2025 - 20453) 基于骨架的动作

IEEE 人工智能汇刊,第 7 卷,第 5 期,2026 年 5 月

IEEE Transactions on Artificial Intelligence, Volume 7, Issue 5, May 2026

1) 医学影像基础模型:综合综述作者:L. Jiao,J. Yang,R. Li,F. Liu,X. Liu,P. Chen,Y.Guo,L. Li,R. Shang,W. MaPages:2426 - 24462) A Systematic Japanese Review on SWOT Analysis of Prompt Engineering Techniques作者:A. Singh,N. K. Chatta,A. Ehtesham, S. Kumar, G. K. Gupta, T. T. Khoei 页数:2447 - 24613) 基因组数据分析的量子机器学习建模作者:N. S