Available now! Telegram Research 2025 — the year's key insights 
AI and Machine Learning
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Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses
Show more📈 Analytical overview of Telegram channel AI and Machine Learning
Channel AI and Machine Learning (@machine_learning_courses) in the English language segment is an active participant. Currently, the community unites 94 021 subscribers, ranking 1 561 in the Education category and 3 020 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 94 021 subscribers.
According to the latest data from 24 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 986 over the last 30 days and by 67 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 6.50%. Within the first 24 hours after publication, content typically collects 1.56% reactions from the total number of subscribers.
- Post reach: On average, each post receives 6 109 views. Within the first day, a publication typically gains 1 470 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 8.
- Thematic interests: Content is focused on key topics such as learning, llm, linkedin, linux, udemy.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
Buy ads: https://telega.io/c/machine_learning_courses”
Thanks to the high frequency of updates (latest data received on 25 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 Education category.
94 021
Subscribers
+6724 hours
+1517 days
+98630 days
Posts Archive
94 035
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📝 New research on text creativity
Scientists have shown: texts created by humans are semantically newer than those generated by AI.
🔎 How it was measured
They introduced the metric "semantic novelty" — the cosine distance between adjacent sentences.
🧠 Main findings
Human texts consistently show higher novelty across different embedding models (RoBERTa, DistilBERT, MPNet, MiniLM).
In the "human-AI storytelling" dataset, the human contribution was semantically more diverse.
✨ But there is a nuance
What we call AI "hallucinations" can be useful in collaborative storytelling. They add unexpected twists and help maintain interest in the story.
👉 Conclusion: humans are more innovative, AI is more predictable, but together they enhance each other.
🔗 Details
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📂 Full description
In this comprehensive course, AI and LLM expert Sinan Ozdemir shares with you the knowledge and skills to assess LLM performance effectively. Get a detailed introduction to the process of evaluating LLMs, Multimodal AI, and AI-powered applications like agents and RAG. Learn how to thoroughly assess and evaluate these powerful and often unwieldy AI tools so you can make sure they meet your real-world needs. This course prepares you to evaluate and optimize LLMs so you can produce cutting edge AI applications.
This course was created by Pearson. We are pleased to host this training in our library.
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🔅 Complete Guide to Evaluating Large Language Models (LLMs)
🌐 Author: Sinan Ozdemir
🔰 Level: Intermediate
⏰ Duration: 7h 56m
🌀 Equip yourself with the knowledge and skills to assess LLM performance effectively.📗 Topics: Retrieval-Augmented Generation, Large Language Models, Artificial Intelligence 📤 Join Artificial intelligence for more courses
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🎓 Post-Degree Generation: AI is Changing the Hiring Game!
◽️ In the era of artificial intelligence, graduation degrees are losing their shine, especially for the class of 2025, where nearly half see the university degree as just an expensive souvenir from the pre-ChatGPT era.
🔹 Companies today don’t ask about honors or credit hours, but demand:
“Show me your skills in Prompt Engineering, not Latin!”
▪️ The resume reset button has been pressed, and the most important skill now is:
“Fluency in using AI”… or nothing!
♦️ Universities still grant degrees, but the market now rewards those who master the tools of the new reality.
In this age, those who don’t speak the language of algorithms… are completely out of the game.
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💥MassGen
🛠MassGen is a system for interaction between different AI agents, using collaborative artificial intelligence to solve complex tasks by distributing assignments among multiple agents.
🔰Key features include model synergy, parallel processing, knowledge sharing, consensus building, and live visualization, enabling agents to work effectively together and achieve the best results.
🔰The complex architecture of MassGen supports integration with three major model providers: Google Gemini, OpenAI, and xAI Grok, and also offers the ability to extend functionality with custom tools and an interactive mode for conducting dialogues.
🔗 Links: https://github.com/Leezekun/MassGen
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🚀 500+ AI Agents Projects — the largest collection of real projects with AI agents
Ashish Patel has compiled a collection of 500+ projects where AI agents are used in various fields — from medicine to finance and customer support.
🧠 What's inside:
— Open source cases: trading bots, assistants, recommendation systems
— Support for popular frameworks: CrewAI, AutoGen, LangGraph, and others
— Agent solutions for market analysis, resume generation, video assistants, lawyers, and even doctors
— Educational agents, recruiting, customer service, and legal-tech projects
— Links to repositories, task descriptions, and ideas for expansion
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✔️ A great start for your own project
✔️ Convenient to search by industry and technology
✔️ Lots of inspiration for hackathons, research, and automation
✔️ Community support: you can add your own cases
📌 Github
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🧠 10 Must-Have AI Tools in 2025!
◽️ Looking for tools that get tasks done quickly and deliver professional results? Here are the most powerful AI tools you must try this year, with hidden links for each tool:
🔹 Pictory.ai Tool
Automatically edit videos from texts or ready clips with cinematic quality, perfect for content creators and YouTubers.
🔹 ChatGPT Tool
Your smart assistant for problem-solving, content generation, programming, creative thinking, and everything you can imagine.
🔹 MidJourney Tool
An amazing artistic image generator using only text descriptions, with stunning resolution and realism.
🔹 Replit Tool
An interactive development environment that lets you write and run code, with AI support that suggests and corrects as you work.
🔹 Synthesia Tool
Create professional videos with virtual talking faces, used in training, marketing, and education.
🔹 Soundraw Tool
Generate original music tracks based on the type of content or desired mood, ideal for videos and podcasts.
🔹 Fliki Tool
Automatically convert texts into short videos, with voiceover and attractive visuals suitable for platforms like TikTok and Reels.
🔹 Starry Tool
Create avatars with high-quality artistic techniques, suitable for profiles, games, and marketing.
🔹 SlidesAI Tool
Turn any text into a professional PowerPoint slide deck in seconds, no manual design needed.
🔹 Remini Tool
Automatically enhance old or low-quality photos and restore details with ultra-high precision.
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From generating images and music to writing code and designing presentations… these tools are your magic toolkit in 2025!
