APEX HUB
π« Disclaimer: All content shared on this channel is for educational and informational purposes only. We do not promote, encourage, or support any illegal activity. Users are solely responsible for how they choose to apply the information or tools π«
Ko'proq ko'rsatishπ Telegram kanali APEX HUB analitikasi
APEX HUB Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 22 418 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 5 889-o'rinni va Hindiston mintaqasida 18 842-o'rinni egallagan.
π Auditoriya koβrsatkichlari va dinamika
Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβsib, 22 418 obunachiga ega boβldi.
30 Iyul, 2026 dagi oxirgi maβlumotlarga koβra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -715 ga, soβnggi 24 soatda esa -24 ga oβzgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya oβrtacha 10.98% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.27% ini tashkil etuvchi reaksiyalarni toβplaydi.
- Post qamrovi: Har bir post oβrtacha 2 464 marta koβriladi; birinchi sutkada odatda 509 ta koβrish yigβiladi.
- Reaksiyalar va oβzaro taβsir: Auditoriya faol: har bir postga oβrtacha 66 ta reaksiya keladi.
- Tematik yoβnalishlar: Kontent apex, bahar, andar, dashboard, devbase kabi asosiy mavzularga jamlangan.
π Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taβriflaydi:
βπ« Disclaimer: All content shared on this channel is for educational and informational purposes only. We do not promote, encourage, or support any illegal activity. Users are solely responsible for how they choose to apply the information or tools π«β
Yuqori yangilanish chastotasi (oxirgi maβlumot 31 Iyul, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boβlib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taβsir nuqtasiga aylantirishini koβrsatadi.
Learn prompt engineering techniques to get better results from Chat GPT and other LLMs.βοΈ Contents βοΈ β¨οΈ (00:00) Introduction β¨οΈ (01:31) What is Prompt Engineering? β¨οΈ (02:17) Introduction to AI β¨οΈ (03:52) Why is Machine learning useful? β¨οΈ (06:36) Linguistics β¨οΈ (08:04) Language Models β¨οΈ (14:35) Prompt Engineering Mindset β¨οΈ (15:38) Using GPT-4 β¨οΈ (20:41) Best practices β¨οΈ (31:20) Zero shot and few shot prompts β¨οΈ (35:06) AI hallucinations β¨οΈ (36:43) Vectors/text embeddings β¨οΈ (40:28) Recap π Share β APEX HUB
