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Source channel @githubtrending · Post #15141 · Sep 13

#python#large_language_models#machine_learning_systems#natural_language_processing Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable. https://github.com/fla-org/flash-linear-attention

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Dasturlash hayoti️️ ️

@dasturlash_hayoti · Post #4116 · 12/27/2025, 07:38 AM

#JavaScript#API#RealProject#webdev#dasturlash_hayoti 👨‍💻 JavaScript + API: Real loyiha Xabarlarni ro‘yxat qilib chiqarish + avtomatik yangilanish Bu bosqichda: - har bir xabar alohida chiqadi - sahifa refreshsiz yangilanadi - real chatlarga yana yaqinlashamiz 1️⃣HTML — xabar yozish va chat oynasi <!-- Xabar yozish --> <input type="text" id="message" placeholder="Xabar yozing"> <button onclick="sendMessage()">Yuborish</button> <!-- Chat ro'yxati --> <ul id="chat"></ul> ul — xabarlar ro‘yxat bo‘lib chiqishi uchun 2️⃣ JavaScript — xabar yuborish va ro‘yxatga qo‘shish <script> function sendMessage() { // Inputni chaqiramiz let input = document.getElementById("message"); // Inputdagi qiymat let msg = input.value; // Bo‘sh xabar yuborilmasligi uchun if (msg === "") return; // Serverga xabar yuborish fetch("https://jsonplaceholder.typicode.com/posts", { method: "POST", body: JSON.stringify({ text: msg }), headers: { "Content-type": "application/json" } }) .then(res => res.json()) .then(data => { // Xabarni chat ro‘yxatiga qo‘shamiz addMessage(data.text); // Inputni tozalaymiz input.value = ""; }); } </script> 3️⃣JavaScript — xabarni ro‘yxatga qo‘shish <script> function addMessage(text) { // Chat ro‘yxatini chaqiramiz let chat = document.getElementById("chat"); // Yangi xabar uchun <li> yaratamiz let li = document.createElement("li"); // Xabar matnini joylaymiz li.innerText = text; // Xabarni chatga qo‘shamiz chat.appendChild(li); } </script> Endi: - har bir xabar pastga qo‘shilib boradi - eski xabarlar yo‘qolmaydi Telegram, kommentlar, chatlar — barchasi shu mantiqda ishlaydi. ☑️Natija ⏺️JavaScript → foydalanuvchi bilan ishlaydi ⏺️API → server bilan gaplashadi ⏺️Sayt → jonli bo‘ladi ➡️Keyingi post: Enter bosilganda yuborish + real-time’ga yana yaqinlashtiramiz 🔥 💻@dasturlash_hayoti— dasturchilar hayoti va IT memlari aralash kanal😉

Dasturlash hayoti️️ ️

@dasturlash_hayoti · Post #4115 · 12/26/2025, 08:59 AM

#JavaScript#API#RealProject#webdev#dasturlash_hayoti ➡️Keyingi postda nima bo‘ladi? Keyingi darsda: ⏺️ xabarlarni bitta emas, ro‘yxat qilib chiqaramiz ⏺️ yangi xabar kelganda sahifa avtomatik yangilanadi Ya’ni: ❌ refresh yo‘q ☑️ real-time ishlash Post JavaScript + API asosida, to‘liq real loyiha ko‘rinishida bo‘ladi. 👉O‘tkazib yubormang! 💻@dasturlash_hayoti— dasturchilar hayoti va IT memlari aralash kanal😉

Dasturlash hayoti️️ ️

@dasturlash_hayoti · Post #4113 · 12/24/2025, 12:44 PM

#JavaScript#API#RealProject#webdev#dasturlash_hayoti ⚠️⚠️⚠️ Diqqat, JavaScript o‘rganuvchilar! Keyingi post: ❌ faqat nazariya emas ☑️JavaScript + API orqali real loyiha bo‘ladi Ya’ni: ⏺️serverdan ma’lumot olish ⏺️sahifani yangilamasdan ishlash ⏺️hammasi real kod bilan💻 Shunaqa amaliy post kerakmi? 👍 Ha, JS + API bilan 🔥 Yo'q, shart emas Qiziqish bo‘lsa — bosqichma-bosqich tushuntirib chiqaramiz