04/02/2025, 06:10 AM UTC
检索增强生成使阅读厚重的卷宗变得过时Retrieval Augmented Generation Makes Reading Thick Volumes Obsolete
➀ 查询增强生成（RAG）技术由弗劳恩霍夫伊弗乌研究所开发，旨在简化在大量技术性和法律文本中查找关键信息的过程。
➁ 该技术旨在通过提供精确和详尽的信息来补充大型语言模型（LLM）。
➂ 伊弗乌的研究团队正在使用欧盟机械法规（2023/1230）作为该技术能力的演示。
➀ Retrieval Augmented Generation (RAG) is being developed by Fraunhofer IWU to streamline the process of finding crucial information in extensive technical and legal texts.
➁ The technology is designed to complement Large Language Models (LLMs) by providing precise and exhaustive information.
➂ The team at IWU is using the EU Machinery Regulation (2023/1230) as a demonstration of the technology's capabilities.
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本文由大语言模型（LLM）生成，旨在为读者 提供半导体新闻内容的知识扩展（Beta）。
