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This article details the Singapore Intelligence RAG System, an AI-powered platform that uses Retrieval-Augmented Generation (RAG) to provide accurate information about Singapore's legal, historical, and infrastructural landscape. It covers system architecture, key features like a triple-AI failover backend, and the complete technical stack for implementation. 原文翻译： 本文详细介绍了新加坡智能RAG系统，这是一个利用检索增强生成（RAG）技术的人工智能平台，旨在提供有关新加坡法律、历史和基础设施景观的准确信息。文章涵盖了系统架构、三重AI故障转移后端等关键功能，以及完整的实施技术栈。

This guide provides techniques to transform vague AI prompts into precise instructions, helping technical professionals improve AI interaction efficiency. 原文翻译： 本指南提供将模糊AI提示词转化为精确指令的技术，帮助技术专业人士提升AI交互效率。

Nous Research launches Forge Reasoning API Beta and Nous Chat platform, enhancing Hermes 70B model with Monte Carlo Tree Search, Chain of Code, and Mixture of Agents techniques to compete with larger models in reasoning benchmarks. 原文翻译： Nous Research推出Forge推理API测试版和Nous Chat平台，通过蒙特卡洛树搜索、代码链和智能体混合技术增强Hermes 70B模型，在推理基准测试中与更大模型竞争。

This article demystifies the core engineering concepts behind LLM API calls, focusing on Tokenization, Context Window management, and decoding parameters (Temperature, Top-p, Top-k). It provides practical guidance for optimizing performance, managing costs, and avoiding common pitfalls in production environments, especially within complex architectures like RAG and Agent workflows. 原文翻译： 本文揭秘了LLM API调用背后的核心工程概念，重点阐述了Token化、上下文窗口管理以及解码参数（Temperature、Top-p、Top-k）。它为优化性能、管理成本以及避免在生产环境（尤其是在RAG和Agent工作流等复杂架构中）的常见陷阱提供了实用指南。

This paper introduces Generative Engine Optimization (GEO), a black-box optimization framework to help content creators improve their visibility in generative engine responses. It proposes GEO-bench f

A new group standard for Generative Engine Optimization (GEO) has been established in China to address risks like data poisoning and misinformation in AI-generated content, aiming to build a trustwort

GEO (Generative Engine Optimization) is a systematic strategy to make brand information understood, prioritized, and integrated into AI-generated answers, shifting focus from traditional search rankin

This comprehensive guide explains Retrieval-Augmented Generation (RAG) as a solution to large language models' knowledge cutoff and hallucination issues, detailing its five-generation evolution, pract

DeepSeek is a leading Chinese open-source large language model series known for its free commercial use, excellent performance, and ultra-long context capabilities. Since its launch in 2023, it has be