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Artificial Intelligence - ChatGPT & AI Tech News
Welcome to ChatGPT & AI Tutorials! 🤖 Unlock the power of Artificial intelligence with clear and concise guides. From basics to advanced techniques, you'll get free Resources to learn AI. 🚀Artificial Intelligence 🚀Machine Learning 🚀Tech News 🚀ChatGPT
Ko'proq ko'rsatish📈 Telegram kanali Artificial Intelligence - ChatGPT & AI Tech News analitikasi
Artificial Intelligence - ChatGPT & AI Tech News (@aisigma) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 19 494 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 6 899-o'rinni va Hindiston mintaqasida 22 331-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 19 494 obunachiga ega bo‘ldi.
20 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 207 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 5.47% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining N/A% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 0 marta ko‘riladi; birinchi sutkada odatda 0 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 learning, openai, phi, capability, llamafile kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Welcome to ChatGPT & AI Tutorials! 🤖 Unlock the power of Artificial intelligence with clear and concise guides. From basics to advanced techniques, you'll get free Resources to learn AI.
🚀Artificial Intelligence
🚀Machine Learning
🚀Tech News
🚀Ch...”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 21 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.
Ma'lumot yuklanmoqda...
| Sana | Obunachilarni jalb qilish | Esdaliklar | Kanallar | |
| 21 Iyun | +1 | |||
| 20 Iyun | +1 | |||
| 19 Iyun | 0 | |||
| 18 Iyun | +2 | |||
| 17 Iyun | 0 | |||
| 16 Iyun | +10 | |||
| 15 Iyun | +11 | |||
| 14 Iyun | +10 | |||
| 13 Iyun | +36 | |||
| 12 Iyun | +4 | |||
| 11 Iyun | +6 | |||
| 10 Iyun | +9 | |||
| 09 Iyun | +8 | |||
| 08 Iyun | 0 | |||
| 07 Iyun | +9 | |||
| 06 Iyun | +5 | |||
| 05 Iyun | +11 | |||
| 04 Iyun | +12 | |||
| 03 Iyun | +12 | |||
| 02 Iyun | +5 | |||
| 01 Iyun | 0 |
| 2 | Claude prompts to optimize your GitHub profile 🚀
React ❤️ For More | 1 184 |
| 3 | AI/ML roadmap
Topic: Mathematics
- Subtopic: Linear Algebra
- Vectors, Matrices, Eigenvalues and Eigenvectors
- Subtopic: Calculus
- Differentiation, Integration, Partial Derivatives
- Subtopic: Probability and Statistics
- Probability Theory, Random Variables, Statistical Inference
Topic: Programming
- Subtopic: Python
- Python Basics, Libraries like NumPy, Pandas, Matplotlib
Topic: Machine Learning
- Subtopic: Supervised Learning
- Linear Regression, Logistic Regression, Decision Trees
- Subtopic: Unsupervised Learning
- Clustering, Dimensionality Reduction[1](https://i.am.ai/roadmap)
- Subtopic: Neural Networks and Deep Learning
- Feedforward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks
Topic: Specializations
- Subtopic: Natural Language Processing
- Text Preprocessing, Topic Modeling, Word Embeddings
- Subtopic: Computer Vision
- Image Processing, Object Detection, Image Segmentation
- Subtopic: Reinforcement Learning
- Markov Decision Processes, Q-Learning, Policy Gradients
Join for more: https://t.me/machinelearning_deeplearning | 1 210 |
| 4 |  🧠 How to Build an AI Agent | 978 |
| 5 | Google Prompt Engineering.pdf | 1 247 |
| 6 |  🚨 Google dropped a 68-page whitepaper on Prompt Engineering — perfect for API users!
It’s packed with advanced tips, techniques, and real examples.
Super useful if you're working with LLM APIs or building AI apps!
PDF below 👇 | 1 182 |
| 7 | 7 out of 10 businesses are missing the AI automation opportunity.
(𝗜 𝘀𝗲𝗲 𝘁𝗵𝗶𝘀 𝗮𝗹𝗹 𝘁𝗵𝗲 𝘁𝗶𝗺𝗲 𝗶𝗻 𝗺𝘆 𝘀𝗮𝗹𝗲𝘀 𝗰𝗮𝗹𝗹𝘀.)
So many are stuck in manual processes.
Wondering why competitors are suddenly 10x faster.
But this 5-step AI automation process will help you out.
Here’s what business leaders should be implementing:
STEP 1: IDENTIFY AI USE CASES
↳ Content Creation with Jasper, Copy(.)ai
↳ Data Analysis with Julius AI, Code Interpreter
↳ Customer Support with Retell AI, Vectorshift AI
STEP 2: SELECT AI MODEL/TOOL
↳ ChatGPT for conversations & images
↳ Claude for analysis & coding
↳ n8n for workflow automation
STEP 3: DESIGN AGENT WORKFLOW
↳ Map the process with clear inputs/outputs
↳ Define decision logic
↳ Set up error handling
STEP 4: CONNECT APIs & DATA
↳ Zapier for app connections
↳ Make for workflow automation
↳ Langchain for AI frameworks
STEP 5: DEPLOY & MONITOR
↳ Track performance metrics
↳ Optimize based on results
↳ Scale what works
KEY TECH SKILLS YOU NEED:
- API Integration & Webhooks
- Prompt Engineering (ChatGPT, Claude)
- No-Code Platforms (Lovable, n8n)
- Vector Databases
- AI Agent Architecture | 1 000 |
| 8 | 7 claude prompts to automate you bussiness ☕️
React 🩷 For More | 975 |
