@cheap_proxy_priceimg · Post #115 · 06/28/2025, 03:33 AM
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Source channel @githubtrending · Post #15428 · Jan 22
#cplusplus FlashMLA is DeepSeek's optimized attention library that makes AI models run faster and use less memory. It works with advanced NVIDIA GPUs to speed up how language models process information, achieving up to 660 trillion floating-point operations per second. The library supports both dense and sparse attention modes, meaning it can focus on important tokens while skipping less relevant ones, reducing computational waste. For you, this means faster AI responses, lower costs for running large language models, and better performance on tasks like chatbots and code generation. The technology is open-source and integrates with popular AI frameworks like PyTorch and Hugging Face, making it accessible for developers building next-generation AI applications. https://github.com/deepseek-ai/FlashMLA
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@cheap_proxy_priceimg · Post #115 · 06/28/2025, 03:33 AM
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@Speedtest_Sy · Post #648 · 02/25/2022, 03:10 PM
#STT#V2Ray 测速环境:山西电信500兆 账号注册:https://sttlink.com/auth/register?code=wMOM ▫️价格预览▫️测速频道▫️
@Speedtest_Sy · Post #484 · 01/15/2022, 02:29 PM
#STT#V2Ray 测速环境:山西电信500兆 账号注册:https://sttlink.com/auth/register?code=wMOM ▫️价格预览▫️测速频道▫️
@Speedtest_Sy · Post #444 · 12/17/2021, 02:25 PM
#STT#V2Ray 测速环境:山西电信500兆 账号注册:https://sttlink.com/auth/register?code=wMOM ▫️价格预览▫️测速频道▫️
@Speedtest_Sy · Post #417 · 12/03/2021, 05:35 AM
#STT#V2Ray 测速环境:山西电信500兆 账号注册:https://sttlink.com/auth/register?code=wMOM ▫️价格预览▫️测速频道▫️
@Speedtest_Sy · Post #265 · 09/30/2021, 01:13 PM
#STT#V2Ray 测速环境:山西电信500兆 账号注册:https://sttlink.com/auth/register?code=wMOM ▫️价格预览▫️测速频道▫️
@Speedtest_Sy · Post #198 · 09/08/2021, 02:35 AM
#STT#V2Ray 测速环境:山西电信500兆 账号注册:https://sttlink.com/auth/register?code=wMOM ▫️价格预览▫️测速频道▫️
@Speedtest_Sy · Post #76 · 08/07/2021, 06:20 PM
#STT#V2Ray 测速环境:山西电信500兆 账号注册:https://sttlink.com/auth/register?code=wMOM ▫️价格预览▫️测速频道▫️
@AlisherAhmatovich · Post #1189 · 01/09/2025, 04:15 PM
O'zbekcha STT (Speech-to-Text) uchun benchmarking v1 tayyor! O'zbek tilida nutqni matnga aylantirish bo'yicha dastlabki etalon tizimni yaratdik! Ushbu jarayonda: ✅ Adabiy O'zbek tili ✅ Turli hududiy shevalar ✅ Musiqalar va suhbatlar ✅ Shovqinli audiolar bilan o’zimizni va bozordagi mavjud modellarni sinab ko'rdik. Tez orada natijalarni va benchmarkni e’lon qilamiz, hamda benchmarkni doimiy yangilab borish niyatimiz bor. Benchmark mezonlari: - WER (Word Error Rate) - So’zlar xatolik darajasi. - CER (Character Error Rate) – Harflar xatolik darajasi. Bu nafaqat texnologik rivojlanish, balki O'zbek tilining raqamli muhitda mustahkam o'rin egallashi yo'lida muhim qadamdir. Maqsadimiz – O'zbekcha STT modellarining aniq va sifatli ishlashini ta'minlashdir. Kelajak rejalari: - Test natijalarini batafsil tahlil qilib, modellarni yanada takomillashtirish. O'zbek tili texnologiyalari rivoji uchun birgalikda ishlashda davom etamiz! STT modelimizni @aishaovozbot’da yoki aisha.group’da sinab ko’rishingiz mumkin. #aisha#stt @elzodxon
@Speedtest_Sy · Post #792 · 04/12/2022, 12:33 PM
#STT#V2Ray#IPLC 测速环境:广东电信300兆 账号注册:https://sttlink.com/auth/register?code=wMOM ▫️测速投稿▫️测速频道▫️
@Speedtest_Sy · Post #776 · 04/11/2022, 02:00 PM
#STT#V2Ray#IPLC 测速环境:广东电信300兆 账号注册:https://sttlink.com/auth/register?code=wMOM ▫️测速投稿▫️测速频道▫️
@Speedtest_Sy · Post #757 · 04/08/2022, 04:26 AM
#STT#V2Ray#IPLC 测速环境:重庆电信500兆 账号注册:https://sttlink.com/auth/register?code=wMOM ▫️测速投稿▫️测速频道▫️