The early history of the maritime trade of China had been largely studied (at the time of this 1954 study) from the Western point of view, that is, as the eastern terminal point of a trade carried and dominated by Indians, Persians and Arabs. This had also been true of the early history of Southeast Asia. Historians, both of China and of Southeast Asia, had seen the trade mainl...(展开全部)

内容简介 这是一本全面讲解RAG技术原理、实战应用与系统构建的著作。作者结合自身丰富的实战经验，详细阐述了RAG的基础原理、核心组件、优缺点以及使用场景，同时探讨了RAG在大模型应用开发中的变革与潜力。书中不仅揭示了RAG技术背后的数学原理，还通过丰富的案例与代码实现，引导读者从理论走向实践，轻松掌握RAG系统的构建与优化。无论你是深度学习初学者，还是希望提升RAG应用技能的开发者，本书都将为你提供宝贵的参考与指导。 通过阅读本书，你将掌握以下知识： ?透彻理解RAG的召回和生成模块算法 ?高级RAG系统的技巧 ?RAG系统的各种训练方式方法 ?深入了解RAG的范式变迁 ?实战0基础搭建RAG系统 ?实战高级RAG系统微调与流程搭建

这是一本全面讲解RAG技术原理、实战应用与系统构建的著作。作者结合自身丰富的实战经验，详细阐述了RAG的基础原理、核心组件、优缺点以及使用场景，同时探讨了RAG在大模型应用开发中的变革与潜力。书中不仅揭示了RAG技术背后的数学原理，还通过丰富的案例与代码实现，引导读者从理论走向实践，轻松掌握RAG系统的构建与优化。无论你是深度学习初学者，还是希望提升RAG应用技能的开发者，本书都将为你提供宝贵的参考与指导。 通过阅读本书，你将掌握以下知识： RAG的召回和生成模块算法 高级RAG系统的构建技巧 RAG系统的各种训练方法 RAG的范式变迁 零基础搭建RAG系统 高级RAG系统微调与搭建

韦伯夫妇（Beatrce WEBB，Sidney WEBB）是著名的英国社会活动家。1883年与萧伯纳等创立费边社，倡导工联主义和改良主义。

Examines the various features of Chinese trade across southeast Asia and as far west as Indian and Ceylon from about 211 BC to the founding of the Sung dynasty in 960 AD. Looks especially at the economic background and the Chinese imperial and regional attitudes toward it, and at political struggles between Chinese and other people and among themselves. First published as the J...(展开全部)

From the late 1700s, an increasing number of British, American and continental European sailing ships brought back ship loads of exotic objects which found a ready market in America and Europe. The insatiable interest in the Orient resulted in a large range of painters depicting everyday life in China, as well as portraits of both Chinese and Westerners. Among other objects bro...(展开全部)

西蒙·德·普瑞，可能是名气最大的拍卖大师之一。他生于瑞士，母亲是日本花道专家，父亲是罗氏药厂负责人。早在进入苏富比拍卖行之前，他便已经耳濡目染，并在拍卖工作中培养出敏锐的艺术眼光。 威廉·斯德蒂姆，美国著名的畅销书作家、知名剧作家和美食评论家。曾获得哥伦比亚大学的“极优等毕业生”称号，拥有哈佛大学商学院MBA学位和哈佛大学法学院法学博士学位，也曾担任华尔街著名律师事务所的国际企业律师。

本书详细解析了RAG（Retrieval-Augmented Generation，检索增强生成）技术及其应用，从文档的分块与向量化，到利用深度学习模型进行向量检索，再到结合Prompt技术以实现精准响应，每个知识点都有清晰的逻辑阐述与实践案例；同时，介绍了PyTorch编程基础与深度学习核心概念。此外，本书还涵盖了一系列实用技术，如Web可视化工具Streamlit与Gradio的使用，以及如何利用这些工具快速构建交互式界面，直观展示RAG技术的效果。最后，通过动手实现PDF阅读器的实例，读者能亲自体验从理论到实践的过程，加深对RAG技术的理解与掌握。 本书内容通俗易懂，适合对文档搜索和RAG应用感兴趣的读者阅读，也可以作为从事大语言模型相关工作的人员的参考书。

Minimize AI hallucinations and build accurate, custom generative AI pipelines with RAG using embedded vector databases and integrated human feedback Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Implement RAG’s traceable outputs, linking each response to its source document to build reliable multimodal conversational agents Deliver accurate generative AI models in pipelines integrating RAG, real-time human feedback improve

Minimize AI hallucinations and build accurate, custom generative AI pipelines with RAG using embedded vector databases and integrated human feedback Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Implement RAG’s traceable outputs, linking each response to its source document to build reliable multimodal conversational agents Deliver accurate generative AI models in pipelines integrating RAG, real-time human feedback improve