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大数据

161 篇 · 资讯流
  1. InfoQ 中国(架构)

    Cloudflare 推出智能体开发栈生命周期,以取代传统 SDLC

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  2. arXiv cs.DC(分布式并行)

    SOLO: Pretraining Billion-Parameter Language Models with Shared-Output Local Learning

    Large language models are trained with backpropagation, whose global gradient coordinates all layers but forces each to

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  3. arXiv cs.DC(分布式并行)

    TempoKV: Timely Staging of LLM KV Caches for Memory-Semantic Flash

    Reusable prefix key-value (KV) caches can outgrow GPU memory in large language model (LLM) serving. A memory-semantic fl

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  4. arXiv cs.DB(数据库)

    WeaveData: A Multimodal Data Analysis System with Self-Critiquing and Self-Evolving LLM Plans

    Multimodal data analysis, which answers questions over relational tables, text, and images, has attracted growing attent

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  5. arXiv cs.DB(数据库)

    Dynamic Flow, Static Graph: KV Cache Reuse for Efficient LLM Serving on Mobile NPUs

    On-device large language model (LLM) serving is a cornerstone of local-first personal intelligence, offering users data

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  6. arXiv cs.DC(分布式并行)

    Nereus: Adaptive Parallelism for LLM Post-Training

    Reinforcement learning (RL) post-training for large language models (LLMs) coordinates multiple models across generation

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  7. arXiv cs.DC(分布式并行)

    QwenGyre: An Elastic Reinforcement Learning Framework for Training xLong-Horizon Agents

    Large language model (LLM) agents increasingly undertake extreme-long (xlong) horizon tasks, where a single execution ca

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  8. InfoQ 中国(架构)

    谷歌 Kotlin 版 ADK 实现与 Python 版功能对齐,支持端侧 AI

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  9. arXiv cs.DB(数据库)

    DataMagic: Authoring Data Videos through Declarative Multi-Agent Orchestration

    Data videos communicate data insights through dynamic charts, voice narration, and synchronized animations, and have bec

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  10. arXiv cs.DB(数据库)

    Robust Hierarchical Structures for Agentic Document Analysis

    Large Language Models (LLMs) enable us to better understand text documents, including PDFs and Word documents. However,

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