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Promptfoo is an open-source framework that introduces software engineering principles like Test-Driven Development (TDD) and Quality Assurance (QA) into the AI development lifecycle. It enables systematic testing, evaluation, and security validation of prompts, agents, and RAG systems for large language models (LLMs), transforming prompt engineering from an ad-hoc process into a reliable, data-driven practice. 原文翻译： Promptfoo 是一个开源框架，它将软件工程中的测试驱动开发（TDD）和质量保证（QA）等成熟理念引入 AI 应用开发生命周期。该框架支持对大型语言模型（LLM）的提示词、智能体和 RAG 系统进行系统性测试、评估和安全验证，从而将提示词工程从临时的“玄学”过程转变为可靠、数据驱动的科学实践。

This report analyzes China's GEO industry in Q1 2026, ranking top companies based on technical strength, market performance, and practical effectiveness. Guangyin GEO leads with its GEO 2.0 system, while the industry shows rapid growth with 187% year-on-year market expansion. 原文翻译： 本报告深度解析2026年第一季度中国GEO行业，基于技术实力、市场表现和实战效果等维度对头部公司进行排名。光引GEO凭借GEO 2.0体系位居榜首，行业整体呈现高速增长，市场规模同比增长187%。

OpenClaw's installation surge is driven by its native DeepSeek integration, pnpm-optimized builds for Chinese networks, and local data sovereignty features, making it a preferred local AI agent infrastructure. 原文翻译： OpenClaw安装量激增的原因在于其原生DeepSeek集成、针对中国网络优化的pnpm构建以及本地数据主权特性，使其成为首选的本地AI代理基础设施。

DeepSeek V4 预览版于2026年4月发布，提供Pro（1.6T参数）和Flash（284B参数）两个版本，均支持1M tokens上下文和领先的Agent能力。其核心Agent能力包括Function Calling（支持并行/嵌套工具调用）、长上下文记忆、思考模式（推理增强）、结构化输出、多模态理解及主流Agent框架适配。API兼容OpenAI接口，支持流式/非流式调用。典型应用覆盖

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

WeChat has begun testing an AI-powered search feature integrating the DeepSeek-R1 model, offering a more diverse and intelligent search experience. The feature is currently in limited testing, pulling

This paper provides a comprehensive introduction to knowledge graphs, covering data models, query languages, knowledge representation techniques, creation methods, and applications across both open and enterprise contexts. 原文翻译： 本文全面介绍了知识图谱，涵盖数据模型、查询语言、知识表示技术、创建方法以及在开放和企业环境中的应用。

This article provides a comprehensive guide on DeepSeek SEO and AI GEO optimization, covering 16 steps for AI reasoning optimization, 15 steps for GEO optimization, prompt types, and keyword strategie

This article provides a comprehensive 2026 guide for Chinese users to access and utilize Google's Gemini models, particularly Gemini 3 Pro, overcoming regional access barriers through platforms like n.myliang.cn. It covers practical applications in multimodal tasks, AI-assisted office work, programming, and SEO optimization. 原文翻译： 本文为国内用户提供了一份全面的2026年指南，介绍如何通过n.myliang.cn等平台访问和使用谷歌Gemini模型（特别是Gemini 3 Pro），以克服地域访问限制。内容涵盖多模态任务、AI辅助办公、编程和SEO优化等实际应用。

This article analyzes the Rejection sampling Fine-Tuning (RFT) method for enhancing large language models' mathematical reasoning. It details a process where smaller models generate diverse reasoning paths, which are filtered for quality and diversity, then used to fine-tune a larger model (e.g., Llama2-70B). Key findings show RFT significantly improves accuracy over standard Supervised Fine-Tuning (SFT), especially for weaker models, by increasing the variety of unique reasoning paths in the training data. 原文翻译： 本文分析了用于增强大语言模型数学推理能力的拒绝采样微调（RFT）方法。它详细阐述了一个流程：使用小模型生成多样化的推理路径，经过质量和多样性筛选后，用于微调更大的模型（如Llama2-70B）。核心发现表明，通过增加训练数据中独特推理路径的多样性，RFT相比标准监督微调（SFT）能显著提升模型准确率，对于性能较弱的模型提升尤为明显。