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Building production-grade AI agents requires extensive optimization of both individual tools and end-to-end workflows, as accuracy compounds across multiple steps and small improvements in each component are critical for overall system reliability. 原文翻译：构建生产级AI智能体需要对单个工具和端到端工作流程进行广泛优化，因为准确性在多个步骤中会累积，每个组件的微小改进对于整体系统可靠性至关重要。

The article analyzes the market shock caused by DeepSeek's competitive AI models, questioning the necessity of massive GPU infrastructure investments. It highlights DeepSeek's cost-efficient training

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

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

DeepGEMM is a high-performance matrix multiplication library optimized for NVIDIA Hopper GPUs, achieving over 1350 FP8 TFLOPS. It supports standard and Mixture-of-Experts (MoE) computations with just

This article provides a comprehensive technical guide to edge detection in computer vision, covering both traditional methods (Sobel, Canny, LoG) and deep learning approaches (HED, RCF, GAN-based, Transformer-based). It includes implementation details, code examples in PyTorch, and training considerations. 原文翻译：本文全面介绍了计算机视觉中的边缘检测技术路线，涵盖传统方法（Sobel、Canny、LoG）和深度学习方法（HED、RCF、基于GAN、基于Transformer），包括实现细节、PyTorch代码示例和训练注意事项。

Google Skills productized the solution to Prompt Bloat by introducing reusable, dynamically loaded expertise units called Skills, which unify agent workflows across Gemini Enterprise, Agents CLI, and AI Edge Gallery, turning Skills into a portable cognition container ("Docker for Prompts"). 原文翻译： Google Skills通过引入可复用、动态加载的专家知识单元（Skills）解决了提示膨胀问题，统一了Gemini Enterprise、Agents CLI和AI Edge Gallery三大平台的代理工作流，使Skills成为可移植的认知容器（“提示的Docker”）。

This week's DEV community thread highlights developers' wins including becoming a speaker at JSNation 2026, getting featured in This Week in React newsletter, and winning the Notion MCP challenge. 原文翻译： 本周DEV社区线程重点介绍了开发者的胜利，包括成为JSNation 2026的演讲者、在This Week in React新闻通讯中亮相以及赢得Notion MCP挑战。

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

free-claude-code is an open-source project that enables free use of Claude Code by proxying requests to free or low-cost model services like NVIDIA NIM, while retaining Claude Code's full engineering