BRAUZERGA ASOSLANGAN SUN’IY INTELLEKT: WEB TEXNOLOGIYALARIDA MASHINAVIY O‘QITISH ALGORITMLARINING EVOLYUTSIYASI VA ULARNING DASTURCHILAR SAMARADORLIGIGA TA’SIRI
DOI:
https://doi.org/10.65164/rz20w887Ключевые слова:
sun’iy intellekt, machine learning, neyron tarmoqlar, JavaScript, TensorFlow.js, WebGPU, algoritm optimallashtirish, web-samaradorlikАннотация
Ushbu tadqiqot zamonaviy web-texnologiyalarda sun’iy intellekt
algoritmlarining integratsiyasini va brauzer asosidagi machine learning yechimlarining rivojlanishini
tahlil qiladi. Tadqiqot 2011–2025 yillar oralig‘ini qamrab olib, uch asosiy bosqichni ajratadi: serverga
bog‘liq tizimlardan TensorFlow.js orqali brauzerda ishlashga o‘tish, WebGL dan WebGPU ga o‘tish
natijasida samaradorlikning sezilarli oshishi hamda oflayn ishlovchi katta til modellari paydo bo‘lishi.
JavaScript asosidagi neyron tarmoqlar va algoritmlar samaradorligi o‘rganilgan. Eksperimentlar AI
vositalari dasturchilar ish unumdorligini sezilarli oshirishini ko‘rsatdi. Tadqiqot natijalari web-AI
texnologiyalari orqali server xarajatlarini kamaytirish va foydalanuvchi maxfiyligini ta’minlash
imkoniyatlarini tasdiqlaydi.
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