从RAG到财富：深入探讨检索增强生成
原文英文，约1900词，阅读约需7分钟。发表于：。Machine learning has evolved dramatically over the past few years, with large language models (LLMs) at the forefront. However, as with any powerful technology, optimizing LLMs can be a real...
近年来，机器学习中的大型语言模型发展迅速。检索增强生成（RAG）通过结合模型内存和外部信息，提高了模型的准确性和可靠性。RAG由检索器、增强过程和生成器组成，能减少幻觉现象，增强适应性和可验证性，突破了模型的静态知识限制，拓展了应用可能性。
