与「confidence」相关的搜索结果

Agent 最缺的不是更大的上下文窗口，而是理解整个代码库的能力：当一个项目有数万文件、跨模块调用和海量文档时，为什么还要让 AI 一遍遍 Grep、Read、重新理解整个工程？ 📦 项目档案 项目：Graphify-Labs/graphify GitHub Stars：⭐ 147299 技术栈：Python + Tree-sitter + NetworkX + Leiden 核心定位：将代码、文档、SQL Schema、PDF、图片及音视频转换成可查询、可追溯的知识图谱，让 AI Agent 从「搜索文件」升级为「理解工程关系」。 GitHub： 🛠️ 一、底层架构：不是传统 RAG，而是图结构知识引擎 Graphify 最值得研究的地方，是它没有走传统向量检索路线。 传统 RAG 通常需要经历： 文件切分 → Embedding → 向量入库 → 相似度检索 → 上下文拼接。 Graphify 直接构建 Graph。 底层采用 NetworkX 图数据结构，以 Node 和 Edge 表达工程实体及其关系。 整个处理链路可以概括为： detect() → extract() → build() → cluster() → analyze() → report() → export() 每个阶段职责独立，通过 Python Dict 和 NetworkX Graph 传递数据。 这意味着它不只是索引代码，而是在构建整个项目的结构化关系网络。 🛠️ 二、Tree-sitter AST：让代码解析摆脱 LLM 依赖 这是最有工程价值的设计。 Graphify 使用 Tree-sitter AST 解析约40种编程语言，提取： • Classes：类定义及结构。 • Functions：函数与方法。 • Imports：模块依赖关系。 • Call Graph：跨文件函数调用。 • SQL：表、视图、外键及 JOIN 关系。 其中33种语言使用 Tree-sitter Grammar，另外7种使用内置解析器。 关键在于：代码结构提取完全在本地完成，不需要调用 LLM，也不需要把代码上传到云端。 对于大型代码库，这种确定性解析比单纯依赖模型阅读文件更容易复现和追踪。 🛠️ 三、EXTRACTED / INFERRED：让每条知识关系都有证据 很多知识图谱最大的隐患是：模型推断出来的关系，很容易被误认为真实事实。 Graphify 给关系增加了置信度标签： • EXTRACTED：源码中明确存在的关系，例如 import、函数调用。 • INFERRED：通过上下文、命名和调用关系推断出来的连接。 • AMBIGUOUS：存在不确定性的关系，需要人工复核。 INFERRED 关系还会附带 0.0—1.0 的 confidence_score。 这套机制非常重要。 它实际上把知识图谱从一个简单的关联网络，变成了一个能够区分事实、推断与不确定性的工程知识系统。 🛠️ 四、Leiden + SHA256 Cache：解决规模与重复计算 Graphify 使用 Leiden 社区发现算法，根据节点之间的连接密度，将复杂工程拆分成不同功能子系统。 例如，一个大型后端项目，可以自动识别认证、数据库、路由、权限等不同社区。 同时，SHA256 内容哈希缓存会记录文件指纹。 文件没有变化，就跳过重复提取；只有新增或修改的文件才重新处理。 音视频还可以通过本地 faster-whisper 转录，再进入统一知识图谱。 这让增量更新不必每次重新扫描整个工程。 五、真正解决了什么工程问题？ 想象一个场景： 你接手一个陌生的微服务项目，需要搞清楚： 用户认证最终连接了哪些数据库模块？ 修改某个核心函数会影响哪些下游组件？ 某个架构决策为什么会存在？ 两个看似无关的模块究竟有什么隐藏依赖？ 传统方式：Grep、Read、跳转、反复询问 Agent，消耗大量上下文。 Graphify：直接执行 query、path、explain。 它还能生成三个核心产物： • graph.json：完整知识图谱，可供后续查询。 • GRAPH_REPORT.md：核心节点、社区及关键关系分析。 • graph.html：可交互的可视化图谱。 甚至支持 Mermaid 调用链导出、Markdown Wiki 和 Obsidian 知识库。 最重要的设计思想是： 不要让 AI 每次都重新阅读整个世界，而是提前把世界组织成它能够理解和遍历的结构。 这才是 AI Coding 从上下文堆砌走向工程知识管理的重要一步。 对于大型 Monorepo、遗留系统维护、跨模块依赖分析，以及需要长期理解代码库的 Agent，这套架构尤其值得研究。 🔗 GitHub 开源地址：

I have no confidence in the future of $NVDA after Jensen’s resignation. Beyond the next couple years of existing revenue + roadmaps. Without Jensen’s visionary leadership that previously set them ahead of $AMD to Broadcom It’s don’t find Nvidia compelling in the long horizon

🚨 The next 36 hours could turn into a nightmare for global markets. Three major things are coming together, and any one of them could trigger another massive selloff. FIRST, NVIDIA. Rumors are growing that Jensen Huang could be removed as CEO. Nothing is confirmed, but if NVIDIA loses the man who built the company, it could seriously damage confidence in the entire AI trade. And right now, AI stocks are the biggest drivers of global markets. SECOND, BITCOIN IS FACING ANOTHER MAJOR THREAT. MSCI will exclude Strategy and other crypto treasury companies from its indexes, forcing index funds to sell their shares. Meanwhile, STRC is trading below its $100 target price, making it harder for Strategy to raise fresh money through that route to buy more Bitcoin. That could put one of Bitcoin's biggest corporate buyers on the sidelines. THIRD, TOMORROW'S PPI INFLATION REPORT. CPI has already come in hotter than expected. Another inflation surprise could increase fears of a larger Fed rate hike. And with the US-Iran conflict still unresolved and Trump calling for no deal with Iran, markets are already dealing with enough uncertainty, and any surprise could be a disaster.

🚨🇺🇸 A simple majority of Nvidia's 11 directors can remove Jensen Huang "with or without cause"... and they are reportedly meeting TONIGHT Reuters says the meeting is under way, three days after the same board said it had confidence in him. Ten of the eleven directors are independent, and he owns about 3.6% of the stock, which is nowhere near enough to stop a vote against him. One longtime tech analyst described what the board is weighing: "Jensen is not replaceable... there is no other person on the management team bench that can step in seamlessly as CEO." With no successor named, speculation has turned to his children, who both started as interns and now hold senior roles. His daughter Madison, 35, leads marketing for Nvidia’s robotics and AI platforms and travels with him to major events, while his son Spencer, 36, manages robotics products. A Huang in charge would signal continuity, but their father said last month either would have to earn the job, and neither is an executive officer, so a temporary chief from outside the family is the likelier first move. Source: Reuters, WSJ / Writer: Daniel

Most models are built to generate text, creative content, or reason step-by-step. But not every task needs a written answer. When a workflow or agent just needs to make a quick call, the Decisions API returns calibrated confidence scores (150–250 ms end-to-end) at $0.10 per 1M input tokens, making it nearly 5x more cost-efficient across the shared benchmark suite than Gemini 3.5 Flash-Lite with the Interactions API.

Since first launching SynthID in 2023, we've watermarked more than 180 billion images and videos, along with 240,000 years of audio content. This tool joins our built-in verification features in Search, @GeminiApp, and @GoogleChrome, which now regularly handle more than 1 million verification requests daily. The SynthID Detector platform is part of our ongoing work to give you more context about the media you see online, so you can navigate the web with confidence. Learn more ↓

🎃🌹 The Pumpkin Rose of Haute Couture 🌹🎃 ✨ "The most unforgettable masterpieces are not created by blending in. They are born when imagination blooms boldly and confidence dares to wear its own colors." 🧡🖤👠👑🍂💎

Nickeil Alexander-Walker took home Most Improved Player and went straight back to work. You can tell he spent the summer in the lab with his cousin SGA—the footwork, the cadence, the MVP-level confidence is identical! #TrueToAtlanta#

🎃🖤 The Queens of Midnight Pumpkin Couture 🖤🎃 ✨ "The most unforgettable masterpieces are born when confidence dares to wear its own colors and courage refuses to blend into the crowd." 🧡🌟👠💎🍂