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  1. LLM-jp-4 技術報告機器翻譯LLM-jp-4 Technical Report

    arXiv:2610.19331v1 Announce Type: new Abstract: This paper presents LLM-jp-4, a family of Japanese sovereign large language models (LLMs) developed with an emphasis on transparency, reproducibility, and practical usabil

    論文基準arXiv cs.CL · 10/15 下午12:00 · 當天共 26 則
    展開同日其他 25 則
  2. Echo：用於LLM訓練與推論的錯誤補償4位元張量並行通訊機器翻譯Echo: Error-Compensated 4-Bit Tensor-Parallel Communication for LLM Training and Inference

    arXiv:2610.14277v1 Announce Type: new Abstract: Tensor parallelism ends every layer with an all-reduce that sits between two dependent matrix multiplications, so its cost cannot be hidden and grows as compute outpaces i

    論文基準arXiv cs.AI · 10/15 下午12:00 · 當天共 33 則
    展開同日其他 32 則
  3. 使用 Amazon Bedrock AgentCore 打造自我改進的文件處理機器翻譯Build self-improving document processing using Amazon Bedrock AgentCore

    Learn how to build an agentic intelligent document processing (IDP) system using Amazon Bedrock AgentCore that classifies, extracts, validates, and learns from business documents with minimal human intervention, automati

    產品應用AWS ML Blog · 10/15 上午12:24
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