KATTA HAJMLI TRANSFORMER TIL MODELLARIDA HISOBLASH RESURSLARINI SAMARALI BOSHQARISH

Ochilov, Murodjon Ashurqulovich

O’zbekiston qishloq va suv xo’jaligi · 2026-yil

Annotatsiya

The computational demands of contemporary transformer models present significant challenges in deploying large-scale neural networks. This research synthesizes methodologies for improving efficiency in architecture design, training protocols, and deployment strategies.

Maqola ma’lumotlari
MualliflarOchilov, Murodjon Ashurqulovich
JurnalO’zbekiston qishloq va suv xo’jaligi
Nashr sanasi2026-01-04
Jild2026
Son1
Betlar58-60
TilO‘zbek

Kalit so‘zlar

neyron til modellari, hisoblash optimallashtiruvi, parallel hisoblash, engil sozlash, model siqish, joylashtirish samaradorligi, нейронные языковые модели, вычислительная оптимизация, параллельные вычисления, облегченная настройка, сжатие моделей, эффективность развертывания, neural language models, computational optimization, parallel processing, lightweight fine-tuning, model compression, deployment efficiency

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