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AI & Deep Learning

AI & Deep Learning

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All about Deep Learning, LLMs #deeplearning #deep_learning #AI #ML Follow for quality content amid all the noise in #AI.

Ko'proq ko'rsatish

📈 Telegram kanali AI & Deep Learning analitikasi

AI & Deep Learning (@deeplearning005) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 10 517 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 11 710-o'rinni va Hindiston mintaqasida 38 656-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 10 517 obunachiga ega bo‘ldi.

23 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 259 ga, so‘nggi 24 soatda esa 3 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 13.21% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.11% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 1 387 marta ko‘riladi; birinchi sutkada odatda 222 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 7 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent developer, openai kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
All about Deep Learning, LLMs #deeplearning #deep_learning #AI #ML Follow for quality content amid all the noise in #AI.

Yuqori yangilanish chastotasi (oxirgi ma’lumot 24 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

10 517
Obunachilar
+324 soatlar
+387 kunlar
+25930 kunlar
Postlar arxiv
GitHub - anthropics/financial-services · GitHub https://share.google/NorU9XclFG3al3Wia

Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights https://arxiv.org/pdf/2603.12228

Given only a compiled binary and its documentation, agents must architect and implement a complete codebase that reproduces the original program's behavior. https://programbench.com/

Thank you all for your support ❤️❤️🚀🚀💝🦾 Follow [@deeplearning005](https://t.me/deeplearning005) for more quality AI updat
Thank you all for your support ❤️❤️🚀🚀💝🦾 Follow [@deeplearning005](https://t.me/deeplearning005) for more quality AI updates

Warp is an agentic development environment, born out of the terminal. Use Warp's built-in coding agent, or bring your own CLI agent (Claude Code, Codex, Gemini CLI, and others). https://github.com/warpdotdev/warp

LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels This is the first breakthrough from Yann LeCunn (Former Meta Chief AI Scientist) . This is a very interesting paper on world models, must read. https://arxiv.org/pdf/2603.19312