Xitoylik DeepSeek kompaniyasi 2025 yilda sun’iy intellektning asosiy modellari o‘qitishda resurslarni tejash uchun yangi usulni taqdim etdi, deb 3dnews.ru xabar berdi. Ushbu usul — «gipersvyazilar bilan ko‘p-o‘lchovli cheklov» (mHC) deb nomlanadi va u modellarning iqtisodiy samaradorligini oshirishga yordam beradi. Bu usul Amerikani raqobatlashuvchi AI echimlari bilan bir xil darajaga bo‘lishni ta’minlaydi, ular esa katta hisoblash resurslariga ega.
DeepSeek ilmiy ishida 3 milliard, 9 milliard va 27 milliard parametrli modellarda mHC usulini sinovdan o‘tkazgani va uning hisoblash yuklamasida sezilarli kamayish keltirib chiqqanligi ta’kidlangan. Model ishlash jarayonida bu usul mavjud gipersvyazilar usuli bilan xavfsiz va tezkor aloqalarni o‘rnatishga yordam beradi.
DeepSeek bu usulni yangi modellari ishlab chiqishda qo‘llamoqda va bu yerda kompaniyaning muvaffaqiyatli ilmiy yo‘nalishlari namoyon bo‘lishi mumkin.
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