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本期精選多篇 AI 專題：從 OpenAI 的 Model Context Protocol（MCP）與 Prompt 工程最佳實踐，到開源社群在本地 AI、向量資料庫與開發工具上的新突破，協助你快速掌握生成式 AI 的最新趨勢。
登山者的地基不在於鞋子的品牌，而在於對「足底系統」的深度認知。本學習地圖將帶領你穿透行銷詞彙，從纖維的化學特性、橡膠的物理摩擦，一路探索至極端環境下的生理安全。這是一場關於「精準選擇」的修煉。
Official Authority vs. Community Creativity: Claude Code vs. Roo Code (2026 Edition)
生成式人工智慧與機器學習導論2025 — 為什麼上下文工程（Context Engineering）是 AI Agent 時代的關鍵技術？
生成式AI時代下的機器學習 — 「預訓練–對齊」（Pretrain-Alignment）的強大與極限
機器學習2021 — 對抗式攻擊與防禦介紹 (Adversarial Attacks and Defense)
A Introduction on building a custom LINE Bot using Webhook + Flask/FastAPI, comparing local testing with ngrok and cloud deployment via Google Cloud Run, and explaining their collaboration and differences.
A proof-of-concept walkthrough on building a smart traffic monitoring system using Python and YOLO. Learn how object detection, license plate recognition, and path analysis can be combined to detect pedestrian blocking violations at crosswalks.
A user-friendly guide to understanding the Model-Context Protocol (MCP), its client-server architecture, and how it allows AI models to safely interact with local tools and files.
A step-by-step tutorial on building a chatbot in Jupyter Notebook that uses tool execution (search_papers, extract_info) to handle complex queries without external frameworks.
Using Tools to Build a Chatbot: A Practical Example in a Jupyter Notebook
Unlocking Your AI: An Introduction to the Model-Context Protocol (MCP)
或許這解釋了為何「Z世代來臨」成為熱門話題。究其根本，這背後是兩個世代的底層邏輯與價值觀存在巨大差異。…
Build an Auto-Updating Personal Static Website with Hugo + GitHub Actions
A practical guide to building a personal static website using Hugo and automating updates and deployment with GitHub Actions. Covers setup, workflow, and best practices.
介紹如何使用 Hugo 和 GitHub Actions 打造自動更新的個人靜態網站，涵蓋框架選擇、主題、配置、多語言、部署、CMS、SEO 及自動化流程。
藉由Copilot輔助分析房市資料 — Linear Regression and Neural Network