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AI and Machine Learning

AI and Machine Learning

前往频道在 Telegram

Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

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📈 Telegram 频道 AI and Machine Learning 的分析概览

频道 AI and Machine Learning (@machine_learning_courses) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 94 021 名订阅者,在 教育 类别中位列第 1 561,并在 印度 地区排名第 3 020

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 94 021 名订阅者。

根据 24 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 986,过去 24 小时变化为 67,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 6.50%。内容发布后 24 小时内通常能获得 1.56% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 6 109 次浏览,首日通常累积 1 470 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 8
  • 主题关注点: 内容集中在 learning, llm, linkedin, linux, udemy 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

凭借高频更新(最新数据采集于 25 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。

94 021
订阅者
+6724 小时
+1517
+98630
帖子存档
📝 New research on text creativity Scientists have shown: texts created by humans are semantically newer than those generated
+1
📝 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

TOP ML Interview Problems
+5
TOP ML Interview Problems

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📂 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.

🔅 Complete Guide to Evaluating Large Language Models (LLMs) 🌐 Author: Sinan Ozdemir 🔰 Level: Intermediate ⏰ Duration: 7h 5
🔅 Complete Guide to Evaluating Large Language Models (LLMs) 🌐 Author: Sinan Ozdemir 🔰 Level: IntermediateDuration: 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

🎓 Post-Degree Generation: AI is Changing the Hiring Game! ◽️ In the era of artificial intelligence, graduation degrees are l
🎓 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

🚀 500+ AI Agents Projects — the largest collection of real projects with AI agents Ashish Patel has compiled a collection of
🚀 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 📌 Why this is useful: ✔️ 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

🧠 10 Must-Have AI Tools in 2025! ◽️ Looking for tools that get tasks done quickly and deliver professional results? Here are
🧠 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. — From generating images and music to writing code and designing presentations… these tools are your magic toolkit in 2025!

🔗 Unsupervised Learning
🔗 Unsupervised Learning