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Mppsc current affairs

Mppsc current affairs

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Mppsc current affairs (@mppsc_current) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 24 351 obunachidan iborat bo'lib, Taʼlim toifasida 8 091-o'rinni va Hindiston mintaqasida 17 413-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 24 351 obunachiga ega bo‘ldi.

03 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -391 ga, so‘nggi 24 soatda esa -5 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 2.28% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.86% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 556 marta ko‘riladi; birinchi sutkada odatda 210 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent भारत, राष्ट्रीय, उद्देश्य, जनवरी, crore kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Kanal uchun tavsif kiritilmagan.

Yuqori yangilanish chastotasi (oxirgi ma’lumot 04 Iyul, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

24 351
Obunachilar
-524 soatlar
-1237 kunlar
-39130 kunlar
Postlar arxiv
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🔆Llama 3.1: ✅It is Meta’s largest ever open source AI model, and it has outperformed the likes of OpenAI’s GPT-4o and Anthro
🔆Llama 3.1: ✅It is Meta’s largest ever open source AI model, and it has outperformed the likes of OpenAI’s GPT-4o and Anthropic’s Claude 3.5 Sonnet on numerous benchmarks. ✅The new Llama 3.1 models are reportedly far more complex compared to Llama 3 models. 📍Features ✅It can converse in eight languages, write higher-quality computer code and solve more complex math problems than previous versions. ✅It comes with 405 billion parameters, or variables that the algorithm takes into account to generate responses to user queries. ✅The running inference (a process to train machine learning models) on Llama 3.1 405B is cost-effective as it is around 50 per cent cheaper than closed models like OpenAI’s GPT-4o. ✅Llama comes with systems like Llama Guard that can be secure against unintentional harms such as bad health advice or unintended self-replication, which he noted as major concerns. #gs3 #prelims #science_technology @upsc_science_and_technology

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