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
Mostrar más📈 Análisis del canal de Telegram AI and Machine Learning
El canal AI and Machine Learning (@machine_learning_courses) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 94 836 suscriptores, ocupando la posición 1 531 en la categoría Educación y el puesto 3 042 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 94 836 suscriptores.
Según los últimos datos del 27 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 732, y en las últimas 24 horas de 1, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 8.62%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.57% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 8 172 visualizaciones. En el primer día suele acumular 2 435 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 17.
- Intereses temáticos: El contenido se centra en temas clave como learning, llm, linkedin, linux, udemy.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
Buy ads: https://telega.io/c/machine_learning_courses”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 28 julio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.
94 836
Suscriptores
+124 horas
+797 días
+73230 días
Archivo de publicaciones
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💻 Scrap
🛠 Scraperr is a self-hosted application designed to accurately extract data from websites using XPath selectors.
🔰 It provides a convenient interface for managing scraping tasks, viewing and exporting data.
🔰 Key features include XPath-based extraction, queue management, scraping all pages of a single domain, adding custom headers, automatic media downloading, and visualizing results in tables.
🔰 The application is intended only for sites where scraping is allowed, and the developer is not responsible for possible abuse.
🔗Links:
https://github.com/jaypyles/Scraperr
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💡 Welcome to The Premium Vault – Your Gateway to Exclusive Content
🔐 What is The Premium Vault?
We are a private Telegram channel dedicated to delivering high-quality, premium content that you simply cannot find through ordinary searches, free platforms, or standard telegram channels. Every piece of content inside this vault is carefully collected, researched, and created exclusively for our members.📦 What’s Inside? 1⃣ Tutorials, and resources across various premium niches 🔢 Downloadable assets, templates and tools 🔢 Masterpiece Movies and TV Shows 🔢 Legendary Documentaries 🔢 Premium Applications, fully featured, paid-tier software and productivity tools 〰️〰️〰️〰️〰️〰️〰️〰️〰️ 🚫 What You Won't Find Here: No recycled freebies. No low-effort posts. No clickbait. Everything inside The Premium Vault is original, valuable, or rare — shared only with our inner circle of premium subscribers. 👌 Why Subscribe? Because the best content is never free. By joining The Premium Vault, you gain a competitive edge, save hours of searching, and access movies, documentaries, and applications others wish they knew existed. 🔒 Privacy & Security This is a private, invite-only channel. No bots, no data selling, no distractions. 🔗 https://t.me/ThePremiumVault/4
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💳 Try RedotPay for online payments using cryptocurrencies.
Register with the RedotPay app and receive a $5 welcome bonus upon meeting the offer requirements. You can create a digital or physical card, depending on your needs.✅ Digital Card: Suitable for online payments. ✅ Physical Card: Suitable for deposits and withdrawals at supported ATMs. ✅ Supports uses such as online purchases, subscriptions, advertising, and some international payment services (subject to availability). 💰 Card creation fees: 🖤 Digital Card: $10 ❤️ Physical Card: $100 Important Note: The $5 bonus is for spending only and cannot be used to pay the card creation fee. 🔗 Registration link: https://url.hk/i/en/jzy14
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֎ New: ChatGPT users can now build real apps directly from chat
ChatGPT's app store just added AppDeploy, and it works with free accounts too.
Describe what you want to build, ChatGPT writes the code, AppDeploy handles deployment automatically inside the same chat, and you get a working link back right away.
AppDeploy includes the infrastructure needed for real apps:
🔐 User login and permissions
🗄 Storage, database, realtime sync and notifications
🤖 Built in AI capabilities
☁️ Full backend, background jobs and scheduled tasks
🧪 Automatic QA for every change and built in versioning
🌐 Custom domains, secrets management and more
Free to use. No subscription or credit card required.
👉 Install AppDeploy in ChatGPT and launch your first app in a few minutes
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🔅 AI Pair Programming with GitHub Copilot X
📝 Learn how to streamline software development workflows using AI pair programming with GitHub Copilot X.
🌐 Author: Ronnie Sheer
🔰 Level: Advanced
⏰ Duration: 1h 23m
📋 Topics: Pair Programming, AI Software Development, GitHub Copilot
🔗 Join Artificial intelligence for more courses
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📹 Lightricks Introduces LTXV-13B Video Generation Model for Home PCs
🛠 With 13 billion parameters, this model creates content 30 times faster than similar solutions on the market.
🔰Featuring innovative “multi-scale rendering” technology , the LTXV-13B runs smoothly on consumer devices including laptops with RTX 3090 , 4090, and 5090 graphics cards.
🔰The source code is available on Hugging Face and GitHub platforms , providing free access to startups.
🔗Links:
https://github.com/Lightricks/LTX-Video
https://huggingface.co/Lightricks/LTX-Video
🌐Site:
https://ltxv.video/
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👨💻Top neural network for creating tables
🛠GenSpark — a free neural network that makes tables much better than Excel with one query and without formulas.
🔰 The service generates tables of any size, adds text, graphics, links and pictures, calculates itself and even searches for data on the Internet.
🔗Links:
https://www.genspark.ai/
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+4
What Are LLMs?
📊 Large Language Models are AI systems trained on vast text data to understand and generate human-like language.
🧬 Built on transformer architecture, they predict the next word using patterns in grammar, context, and knowledge.
⚡️ From writing emails to coding and reasoning, they power tools like chatbots and assistants.
🔥 Flaws like bias exist, but they’re reshaping how machines think.
Language is the new code.
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🔅 AI Mastery: LLMs Explained with Math (Transformers, Attention Mechanisms & More)
⏲ 5 hours 📁 34 Lessons
📔 Unlock the secrets behind transformers like GPT and BERT. Learn tokenization, attention mechanisms, positional encoding, and embedding to build and innovate with advanced AI. Excel in the field of machine learning and become a top-tier AI expert.🎙 Taught by: Patrik Szepesi 📤 Download All Courses
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🔅 AI-Powered Software Development: Coding, Testing, and System Design
📝 Explore how to effectively leverage generative AI tools across the development lifecycle—from coding and testing to architecture design and agile project management.
🌐 Author: Shaun Wassell
🔰 Level: Intermediate
⏰ Duration: 2h 46m
📋 Topics: AI Software Development, Generative AI Tools, Software Development
🔗 Join Artificial intelligence for more courses
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💻CloudReve
🛠 CloudReve is a self-hosted file management system with multi-cloud support, offering a wide range of features for storing and organizing data.
🔰The system supports various storage backends, upload/download speed limiting, and integration with Aria2.
🔰Users can easily manage files via WebDAV and drag & drop, generate time-limited sharing links, and preview files of various formats online.
🔰CloudReve also allows theme customization and supports multi-user mode, making it a versatile tool for file management.
🔗Links:
https://github.com/cloudreve/Cloudreve?tab=readme-ov-file
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🔎We found a tool for searching PDF files for you
🛠 PDF Search is a document search engine that lets you browse over 18 million PDF documents.
🔰 She will find articles, guides, courses, scientific materials and much more.
⚙️ Some of the service's features:
🔹 Organize your search using smart tags. Click on the tag next to the document preview to find more relevant documents;
🔹 Interactive search. You can find not only a document preview and smart tags, but also a detailed summary and a selection of the most important facts within the document;
🔹 Natural language processing. The service allows you to view rich semantic metadata extracted from thousands of documents;
🔹 Find facts and entities, not just text. The tool goes beyond classic entity identification and returns facts and events hidden in the content.
🔗Links:
https://www.pdfsearch.io/index.php
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+3
In recent times, the popularity of transformer-based LLMs and LLM applications such as AI agents has skyrocketed. Compute is in high demand, while models soar in parameter count—reaching hundreds of billions and trillions of parameters in the largest LLMs.
Luckily, researchers have been moving towards techniques to reduce the compute and VRAM needed to store, train, and run models.
This is where small language models (SLMs) come in. Small language models are neural language models that are much smaller in size (typically billions of parameters or fewer) than today’s massive LLMs (which often have hundreds of billions).
By design, SLMs can run on consumer-grade devices like smartphones, embedded systems, or PCs, offering fast inference and a much lower cost.
Researchers often consider models under about 10 billion parameters to be SLMs, since such models can fit on common hardware with low latency.
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+4
In June of 2025, Nvidia research released a paper detailing the potential of SLMs, titled “Small Language Models are the Future of Agentic AI.”
One of the key takeaways from the paper is that since agents are typically tailored towards solving very specific tasks, a full hundred billion parameter LLM is not required to be proficient at the task.
They show that SLMs are in fact enough for specific agentic applications with examples in specific industries.
SLMs use many state-of-the-art optimization techniques and fine-tuning to decrease the model size and improve efficiency. Some of these techniques allow SLMs to be decently powerful and useful at small sizes. Techniques include quantization, mixture-of-experts (MoE), low rank adaptation (LoRA), pruning, flashattention and more.
