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Artificial Intelligence

Artificial Intelligence

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📈 Analytical overview of Telegram channel Artificial Intelligence

Channel Artificial Intelligence (@artificial_intelligence_com) in the English language segment is an active participant. Currently, the community unites 71 586 subscribers, ranking 1 800 in the Technologies & Applications category and 4 426 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 71 586 subscribers.

According to the latest data from 28 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -399 over the last 30 days and by -39 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 6.14%. Within the first 24 hours after publication, content typically collects 1.59% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 4 397 views. Within the first day, a publication typically gains 1 141 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 7.
  • Thematic interests: Content is focused on key topics such as learning, linkedin, linux, udemy, 040k|.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“🔒 Welcome Artificial Intelligence Channel Buy ads: https://telega.io/c/Artificial_Intelligence_COM”

Thanks to the high frequency of updates (latest data received on 29 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

71 586
Subscribers
-3924 hours
-2227 days
-39930 days
Posts Archive
+1
09 - Capstone Project GenAI for Customer Acquisition - Part 01

+1
08 - OpenAI API - Part 01

07 - Scientific Literature Review - RAG

+1
06 - Introduction to RAG - Part 01

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⚠️ To be continued ⚠️

10. Networking

09. XSS

10. Networking

09. XSS

08. Introduction to XXE

05 - Scientific Literature Review - LLMs

+1
04 - Basics of Generation Models for RAG - Part 01

03 - Scientific Literature Review - Prompt Engineering

+1
02 - Basics of Retrieval Systems for RAG and Generative AI - Part 02

01 - RAG and Generative AI with Python

🔗 RAG, AI Agents and Generative AI with Python and OpenAI 2025 🌟 4.6 - 553 votes 💰 Original Price: $54.99 📖 Mastering Ret
🔗 RAG, AI Agents and Generative AI with Python and OpenAI 2025 🌟 4.6 - 553 votes 💰 Original Price: $54.99
📖 Mastering Retrieval-Augmented Generation (RAG), Generative AI (Gen AI), AI Agents, Agentic RAG, OpenAI API with Python
🔊 Taught By: Diogo Alves de Resende 📤 Download All Courses

⚠️👆 This post will be deleted after 24 hours 👆⚠️

@machine_learning_courses_Machine_Learning_with_Python_Cookbook.pdf8.33 MB

📙 Machine Learning with Python Cookbook - 2nd Edition 💵 The book price: 45$
📙 Machine Learning with Python Cookbook - 2nd Edition 💵 The book price: 45$