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소스 채널 @phpdevelopersuz · Post #2443 · 6월 20일

✅Telegram 8.8 versiyaga yangilandi 700 million foydalanuvchilar va Telegram Premium Telegram Premium • Va'da qilinganidek, Pulli funksiyalar yangi versiyada mavjud. Batafsil ← • AppStore-da Rossiya uchun narx, avval aytib o'tilganidek, oyiga 449 rublni tashkil etdi. • O'zbekiston uchun narx xozircha nomalum. Guruhga qo'shilish so'rovlari • Ommaviy guruh administratorlari endi qo‘shilish so‘rovini yoqishlari mumkin. • Guruhga kirishdan oldin foydalanuvchi "Ariza yuborish" tugmasini ko'radi - misol. • Funksiyani yoqish uchun siz Guruh profili boʻlimiga oʻtishingiz > “Tahrirlash” ni tanlashingiz > “Guruh turi” tugmasini bosishingiz > soʻng “Kim xabar yuborishi mumkin?” > "Faqat a'zolar" ni tanlang > va qo'shilish uchun arizalarni yoqing. Yaxshilangan "galochka" • Kanal, guruh yoki bot autentifikatsiyasini tasdiqlovchi ko‘k belgi endi chatning o‘zi ochilganda ham ko‘rsatiladi – misol. Yaxshilangan botlar • Dasturchilar endi rasm yoki videoni "Ushbu bot nima qila oladi" bo'limiga qo'shishlari mumkin - misol. Boshqa yangiliklar • Suhbatni oldindan ko‘rish yaxshilandi. Endi Android Telegram’da iOS’dagi kabi yozishmalar bo‘ylab harakatlanishingiz mumkin. • Androidda qo'shimcha ikonkalar. • Galereyaga rasm va videolarni suxbat turlari bo'yicha avtomatik saqlash funksiyasi qoʻshildi. • Fayllarni iOSda uchinchi tomon ilovalaridan jo‘natishda endi animatsion yuklab olish paneli ko‘rinadi. ▫️ Emojilar, stikerlar va fon rasmlari bilan animatsion avatar tuzuvchi (hozircha faqat macOS uchun). ▫️ Telegram’ning mobil va kompyuter versiyalari uchun 100 dan ortiq tuzatishlar va yaxshilanishlar: iOS’da yaxshilangan animatsiya silliqligi, Android qo‘ng‘iroqlari sifati. Bu yangilanish haqida batafsil: 👉🏻 VIDEO | 👉🏻 MAQOLA 📲PlayStore | 📲AppStore |📂APK #telegram#tgram 💚@TGraphUz | YouTube

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@githubtrending · Post #15271 · 2025. 11. 05. PM 12:30

#cplusplus#arm#baidu#deep_learning#embedded#fpga#mali#mdl#mobile#mobile_deep_learning#neural_network Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance. https://github.com/PaddlePaddle/Paddle-Lite