04/02/2025, 06:07 AM UTC
检索增强生成让阅读厚重的书籍变得过时Retrieval Augmented Generation Makes Reading Thick Books Obsolete
检索增强生成（RAG）通过使用大型语言模型（LLM）和检索系统，使得在大量文档中查找信息变得更加容易。这种方法确保了精确和全面的信息检索，对于法律文本和用户手册尤其有用。弗劳恩霍夫伊弗乌正在开发这项技术，它可以在标准PC和云中使用，确保数据安全和隐私。
Retrieval Augmented Generation (RAG) is making it easier to find information in extensive documents by using large language models (LLMs) and a retrieval system. This method ensures precise and comprehensive information retrieval, which is particularly useful for legal texts and user manuals. The Fraunhofer IWU is developing this technology, which can be used on standard PCs and in the cloud, ensuring data security and privacy.
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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）。
