Code With MEMO

𝐖𝐡𝐚𝐭 𝐊𝐍𝐍 𝐢𝐬 𝐚𝐧𝐝 𝐡𝐨𝐰 𝐢𝐭 𝐰𝐨𝐫𝐤𝐬⁣ 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐊𝐍𝐍 𝐟𝐨𝐫 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐯𝐬 𝐑𝐞𝐠𝐫𝐞𝐬𝐬𝐢𝐨𝐧⁣ 𝐑𝐨𝐥𝐞 𝐨𝐟 𝐊 (𝐡𝐲𝐩𝐞𝐫𝐩𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫)⁣ 𝐃𝐢𝐬𝐭𝐚𝐧𝐜𝐞 𝐦𝐞𝐭𝐫𝐢𝐜𝐬: 𝐄𝐮𝐜𝐥𝐢𝐝𝐞𝐚𝐧 𝐯𝐬 𝐌𝐚𝐧𝐡𝐚𝐭𝐭𝐚𝐧⁣ 𝐖𝐡𝐲 𝐊𝐍𝐍 𝐢𝐬 𝐜𝐚𝐥𝐥𝐞𝐝 𝐚 𝐥𝐚𝐳𝐲 / 𝐢𝐧𝐬𝐭𝐚𝐧𝐜𝐞-𝐛𝐚𝐬𝐞𝐝 𝐥𝐞𝐚𝐫𝐧𝐞𝐫⁣ ⁣ 🎯 𝐓𝐨𝐩 𝟏𝟎 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 (𝐌𝐮𝐬𝐭-𝐊𝐧𝐨𝐰)⁣ ⁣ 1️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘒-𝘕𝘦𝘢𝘳𝘦𝘴𝘵 𝘕𝘦𝘪𝘨𝘩𝘣𝘰𝘳𝘴 (𝘒𝘕𝘕)?⁣ 2️⃣ 𝘞𝘩𝘺 𝘪𝘴 𝘒𝘕𝘕 𝘤𝘢𝘭𝘭𝘦𝘥 𝘢 𝘭𝘢𝘻𝘺 𝘭𝘦𝘢𝘳𝘯𝘪𝘯𝘨 𝘢𝘭𝘨𝘰𝘳𝘪𝘵𝘩𝘮?⁣ 3️⃣ 𝘋𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘤𝘦 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘒𝘕𝘕 𝘤𝘭𝘢𝘴𝘴𝘪𝘧𝘪𝘤𝘢𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘒𝘕𝘕 𝘳𝘦𝘨𝘳𝘦𝘴𝘴𝘪𝘰𝘯?⁣ 4️⃣ 𝘏𝘰𝘸 𝘥𝘰 𝘺𝘰𝘶 𝘤𝘩𝘰𝘰𝘴𝘦 𝘵𝘩𝘦 𝘷𝘢𝘭𝘶𝘦 𝘰𝘧 𝘒?⁣ 5️⃣ 𝘞𝘩𝘢𝘵 𝘩𝘢𝘱𝘱𝘦𝘯𝘴 𝘸𝘩𝘦𝘯 𝘒 𝘪𝘴 𝘵𝘰𝘰 𝘴𝘮𝘢𝘭𝘭 𝘰𝘳 𝘵𝘰𝘰 𝘭𝘢𝘳𝘨𝘦?⁣ 6️⃣ 𝘞𝘩𝘢𝘵 𝘥𝘪𝘴𝘵𝘢𝘯𝘤𝘦 𝘮𝘦𝘵𝘳𝘪𝘤𝘴 𝘢𝘳𝘦 𝘤𝘰𝘮𝘮𝘰𝘯𝘭𝘺 𝘶𝘴𝘦𝘥 𝘪𝘯 𝘒𝘕𝘕?⁣ 7️⃣ 𝘞𝘩𝘺 𝘥𝘰𝘦𝘴 𝘒𝘕𝘕 𝘱𝘦𝘳𝘧𝘰𝘳𝘮 𝘱𝘰𝘰𝘳𝘭𝘺 𝘰𝘯 𝘩𝘪𝘨𝘩-𝘥𝘪𝘮𝘦𝘯𝘴𝘪𝘰𝘯𝘢𝘭 𝘥𝘢𝘵𝘢?⁣ 8️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘵𝘩𝘦 𝘵𝘪𝘮𝘦 𝘤𝘰𝘮𝘱𝘭𝘦𝘹𝘪𝘵𝘺 𝘰𝘧 𝘒𝘕𝘕?⁣ 9️⃣ 𝘏𝘰𝘸 𝘥𝘰 𝘒𝘋-𝘛𝘳𝘦𝘦 𝘢𝘯𝘥 𝘉𝘢𝘭𝘭-𝘛𝘳𝘦𝘦 𝘪𝘮𝘱𝘳𝘰𝘷𝘦 𝘒𝘕𝘕 𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦?⁣ 🔟 𝘞𝘩𝘦𝘯 𝘴𝘩𝘰𝘶𝘭𝘥 𝘺𝘰𝘶 𝘢𝘷𝘰𝘪𝘥 𝘶𝘴𝘪𝘯𝘨 #𝘒𝘕𝘕?⁣

Have sweet Sunday 🤗

Big private AI players are moving toward public markets in 2026. The biggest foundation model makers and the tech that runs them are eyeing IPOs. These are not small experiments anymore.

Focus on your self! Be confident👊

😞

Quote of the day

If you give me rice, I'll eat today. If you teach me how to grow rice, I'll eat every day.

Mahatma Gandhi Indian political leader

✅ Web Development Frameworks 🌐💻 Understanding web development frameworks helps you choose the right tool for the job — whether it’s frontend, backend, or full-stack. Here's a breakdown with real-world examples. 1. Frontend Frameworks (User Interface) These help build interactive web pages users see. A. React.js (Library by Meta) • Use when: You need dynamic, component-based UIs. • Best for: Single Page Applications (SPA), real-time updates • Example: Facebook, Instagram function Greet() { return <h1>Hello, user!</h1>; } B. Angular (Google) • Use when: Building large-scale, enterprise-level apps with TypeScript. • Best for: Complex SPAs with built-in routing, forms, HTTP • Example: Gmail, Upwork C. Vue.js • Use when: You want a lightweight, flexible alternative to React/Angular • Best for: Startups, MVPs • Example: Alibaba, Xiaomi 2. Backend Frameworks (Server-side logic) Handle database, APIs, user auth, etc. A. Node.js + Express.js • Use when: Building REST APIs, real-time apps (e.g. chat) • Best for: Full-stack JS apps, fast prototyping • Example: Netflix, LinkedIn backend app.get("/", (req, res) => { res.send("Hello world"); }); B. Django (Python) • Use when: You need security, admin panel, and quick setup • Best for: Rapid backend development, data-heavy apps • Example: Instagram, Pinterest C. Flask (Python) • Use when: You want more control and a lightweight setup • Best for: Small APIs, microservices • Example: Netflix internal tools D. Laravel (PHP) • Use when: Building apps with clean syntax, built-in auth, MVC pattern • Best for: CMS, CRM, e-commerce • Example: B2B web portals, Laravel Nova 3. Full-stack Frameworks Combine frontend + backend in one environment. A. Next.js (React-based) • Use when: You want SEO-friendly React apps (SSR/SSG) • Best for: Blogs, e-commerce, dashboards • Example: TikTok web, Hashnode B. Nuxt.js (Vue-based) • Use when: Vue + server-side rendering • Best for: SEO-heavy Vue apps • Example: GitLab documentation site C. Ruby on Rails • Use when: You want opinionated structure and fast development • Best for: MVPs, startups • Example: Shopify, GitHub (early days) When to Use What? Goal: Fast UI + real-time app → React.js + Node.js + Express Goal: SEO-friendly React site → Next.js Goal: Secure backend with admin → Django Goal: Lightweight Python API → Flask Goal: Laravel-style MVC in PHP → Laravel Goal: Complete Vue.js SSR app → Nuxt.js Goal: Enterprise SPA → Angular Goal: Small-to-mid project, fast → Vue.js or Flask 🎯 Takeaway: Choose based on: • Team size expertise • Project size complexity • Need for speed, security, or SEO • Preferred language (JS, Python, PHP, etc.) https://t.me/Ethio_Coders_channel

Break language barriers with ease using our all-in-one Translator Bot, designed to make communication seamless, fast, and accessible for everyone. @LanguagesTranslatorBot ✨ Key Features: ✅Text Translation –> Instantly translate messages into multiple languages.  ✅Voice Translation –> Speak in English, and let the bot do the talking. ✅Document Translation –> Upload PDF, DOCX, or TXT files and get them translated in seconds.  ✅Text-to-Speech –> Hear your translations spoken aloud with natural clarity.  ✅Inline Mode Support –> Translate on the go, right from your chat window. Try it now👇 @LanguagesTranslatorBot #Ads.

ML engineers, this is for you: an interactive math tutorial for machine learning Recently, they posted several more blogs on the basics of mathematical analysis for machine learning, with interactive simulations. Among the topics: - backprop and gradient descent - local minima and saddle points - vector fields - Taylor series - Jacobian and Hessian - partial derivatives The material is specifically focused on the ML context, with an emphasis on clarity and practical understanding

🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈 “ሕፃን ተወልዶልናልና፥ ወንድ ልጅም ተሰጥቶናልና፤ አለቅነትም በጫንቃው ላይ ይሆናል፤ ስሙም ድንቅ መካር፥ ኃያል አምላክ፥ የዘላለም አባት፥ የሰላም አለቃ ተብሎ ይጠራል።”   — ኢሳይያስ 9፥6 🌸🌸🌸🌸🌸🌸🌸🌸🌸🌸🌸🌸 "እንኳን  ለጌታችን ለመድኃኒታችን ለእየሱስ ክርስቶስ የልደት  በዓል በሰላም አደረሳችሁ!!!🙏🙏🙏

OpenAI wants Pinterest. Here’s why. Reports say OpenAI is exploring an acquisition of Pinterest, and it has little to do with being a social app. Pinterest is built around intent, what people plan, save, and want, often before they can explain it clearly. That makes it one of the largest visual intent datasets online. It captures early signals around taste, decisions, and future actions, not finished thoughts typed into a search bar. For AI, this kind of data matters. It could help models understand preferences, planning behavior, and goals earlier in the process, especially as AI moves beyond text and into images and generation. AI that understands what you want before you ask feels like a real shift.

Have Sweet Sunday fam❤️