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A 30-minute intermediate-to-advanced guide to mastering WiFi CSI-based pose estimation, deploying both Python and Rust versions, and setting up an ESP32 sensing node to run the end-to-end pipeline. 原文

本文提出了一种超越传统文档检索的RAG框架，将其演化为动态优化引擎。该框架通过动态检索和组合多种上下文（如定制指令、少样本示例），并基于交互反馈实时优化检索策略，优先选择高效用内容。系统形成闭环学习，能自动纠正错误、强化成功输出，使LLM无需重新训练即可持续改进，实现从静态检索到实时自适应优化的转变。

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

CIE is a local-first code intelligence engine that indexes codebases to provide semantic search, call graph analysis, and endpoint discovery through MCP, reducing AI agent tool calls by up to 90% while keeping all data private. 原文翻译： CIE是一个本地优先的代码智能引擎，通过索引代码库提供语义搜索、调用图分析和端点发现功能，通过MCP协议工作，可将AI代理工具调用减少高达90%，同时保持所有数据私有。

Awesome LLM Apps provides 100+ ready-to-run AI agent and RAG templates with step-by-step tutorials, covering AI Agents, Multi-agent Teams, MCP Agents, RAG, Voice Agents, and more. It's provider-agnostic, works with Claude, Gemini, OpenAI, xAI, Qwen, and Llama, and includes free tutorials on Unwind AI. 原文翻译： Awesome LLM Apps 提供100多个可直接运行的AI智能体和RAG模板，附带分步教程，涵盖AI智能体、多智能体团队、MCP智能体、RAG、语音智能体等。它支持多种模型提供商，包括Claude、Gemini、OpenAI、xAI、Qwen和Llama，并在Unwind AI上提供免费教程。

Open Deep Research is an open-source implementation of OpenAI's Deep Research experiment that uses Firecrawl for web search/extraction with reasoning models for structured data analysis. 原文翻译： Open Deep Research 是 OpenAI Deep Research 实验的开源实现，使用 Firecrawl 进行网络搜索/提取，并结合推理模型进行结构化数据分析。

This comprehensive 2026 ranking analyzes major LLMs across reasoning, coding, math, agentic, software engineering, and chat benchmarks, providing detailed performance scores and pricing comparisons for technical professionals. 原文翻译： 这份全面的2026年排名分析了主要大语言模型在推理、编码、数学、代理、软件工程和聊天基准测试中的表现，为技术专业人士提供详细的性能得分和定价对比。

The Boswell Test is an automated framework for comparative analysis of Large Language Models (LLMs) through peer-review evaluation, where models grade each other's essays across multiple domains to calculate a comprehensive Boswell Quotient score. 原文翻译： Boswell测试是一个自动化框架，通过同行评审评估对大语言模型进行对比分析，模型在多个领域相互评分论文，以计算全面的Boswell商数得分。

This article reports on a real experiment where 7 AI agents, including Gemini, were given $100 and 12 weeks to build startups autonomously. Gemini struggled with four key issues: writing help requests to wrong files, prioritizing blog posts over critical features, inability to verify deployments, and inefficient communication. The author aligns these problems with Google Cloud NEXT '26 announcements such as Agent Observability, ADK Skills, MCP-enabled services, and A2A protocol, proposing a rebuilt architecture. 原文翻译：本文报道了一项真实实验：7个AI代理（包括Gemini）各获得100美元和12周时间，自主构建初创公司。Gemini出现了四个关键问题：将帮助请求写入错误文件、优先写博客而非关键功能、无法验证部署、以及沟通效率低下。作者将这些故障与Google Cloud NEXT '26的公告（如Agent Observability、ADK Skills、MCP-enabled服务、A2A协议）对齐，并提出了重建方案。