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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
Show more📈 Analytical overview of Telegram channel Artificial Intelligence - ChatGPT & AI Tech News
Channel Artificial Intelligence - ChatGPT & AI Tech News (@aisigma) in the English language segment is an active participant. Currently, the community unites 19 494 subscribers, ranking 6 899 in the Technologies & Applications category and 22 331 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 494 subscribers.
According to the latest data from 20 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 207 over the last 30 days and by -3 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 5.47%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
- Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
- Thematic interests: Content is focused on key topics such as learning, openai, phi, capability, llamafile.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“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...”
Thanks to the high frequency of updates (latest data received on 21 June, 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.
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| Date | Subscriber Growth | Mentions | Channels | |
| 21 June | +1 | |||
| 20 June | +1 | |||
| 19 June | 0 | |||
| 18 June | +2 | |||
| 17 June | 0 | |||
| 16 June | +10 | |||
| 15 June | +11 | |||
| 14 June | +10 | |||
| 13 June | +36 | |||
| 12 June | +4 | |||
| 11 June | +6 | |||
| 10 June | +9 | |||
| 09 June | +8 | |||
| 08 June | 0 | |||
| 07 June | +9 | |||
| 06 June | +5 | |||
| 05 June | +11 | |||
| 04 June | +12 | |||
| 03 June | +12 | |||
| 02 June | +5 | |||
| 01 June | 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 |
