🥳Bugun Telegram 10 yoshga to'ldi. Pavel Durovtug'ilgan kun haqida shunday dedi: Atigi oʻn yil ichida Telegram 800 milliondan ortiq faol foydalanuvchilarga ega boʻldi. Yillar davomida ko'plab yangilanishlar va takomillashtirishlar orqali Telegram zamonaviy xabar almashish tajribasi qanday bo'lishi kerakligini qayta belgilab berdi. Telegram uchun navbatdagi qadam - bu xabar almashishdan tashqariga chiqish va umuman, ijtimoiy tarmoqlarda innovatsiyalarni rivojlantirish. Biz mashhurligimizdan milliardlab odamlarning hayotini yaxshi tomonga o'zgartirish, sayyoramizdagi odamlarni ilhomlantirish va ko'tarish uchun foydalanishimiz kerak. Bugungi kunda barcha foydalanuvchilar uchun hikoyalarning bosqichma-bosqich chiqarilishi Telegram tarixidagi ushbu yangi bosqichning boshlanishini anglatadi. O'tgan o'n yillik hayajonli bo'lsa-da, keyingi 10 yil Telegram o'zining haqiqiy salohiyatiga erishadigan vaqt bo'ladi. 🥳 #durov#telegram#10yosh ✅@TGraphUz | 📺YouTube
검색: #easy
@R4marketing · Post #806 · 2021. 08. 13. AM 08:00
Совсем лайтовая статья для новичков "10 главных конструкций языка R". Содержание: - Комментарии - Переменные и векторы - Внешние модули - Ввод и вывод - Присваивание и сравнение - Условный оператор if - Цикл for - Функции - Классы, методы и объекты #статьи #easy
@testflightynoti · Post #37780 · 2026. 05. 07. PM 08:30
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@testflightynoti · Post #37748 · 2026. 05. 07. AM 08:21
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@githubtrending · Post #15433 · 2026. 01. 23. PM 02:30
#python#deepseek#demo#easy#embedding#flask#gpt#huggingface_transformers#llm#mcp#multimodal#openai#qwen#rag#sentence_transformers#ui#vllm#vlm UltraRAG is a lightweight framework that makes building retrieval-augmented generation (RAG) systems simple and fast. It uses a low-code approach where you write just dozens of lines of YAML configuration instead of complex code to create sophisticated AI workflows with conditional logic and loops. The framework includes a visual development environment where you can drag-and-drop to build pipelines, adjust parameters in real-time, and instantly convert your logic into interactive chat applications. This means you can deploy powerful AI systems that ground answers in your own data—reducing hallucinations and improving accuracy—without needing extensive coding expertise or lengthy development cycles. https://github.com/OpenBMB/UltraRAG