BLUF本文深入解析大型语言模型(LLMs)的技术原理、发展历程,并盘点ChatGPT、ChatGLM等知名项目的实战资源与应用场景,为技术从业者提供一站式指南。
原文翻译:
This article provides an in-depth analysis of the technical principles and development history of Large Language Models (LLMs), reviews practical resources and application scenarios of notable projects like ChatGPT and ChatGLM, offering a one-stop guide for technical professionals.
BLUFGEO(生成式引擎优化)是AI时代提升内容在生成式AI(如ChatGPT、DeepSeek)中可见性的新策略。它通过优化内容的语义相关性与结构,影响AI联网搜索结果及长期训练数据,是技术专业人士需关注的新兴领域。
原文翻译:
GEO (Generative Engine Optimization) is a new strategy in the AI era to enhance content visibility in generative AIs like ChatGPT and DeepSeek. By optimizing content's semantic relevance and structure, it influences AI web search results and long-term training data, representing an emerging field that technical professionals need to focus on.