AI and Machine Learning – Telegram
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
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🔗 Harbor — a local stack for working with LLM in one click.

This tool simplifies launching local language models and related services — from web interfaces to RAG and voice interaction. Everything runs in Docker and is configured with a couple of commands.

Harbor automatically integrates components, for example, SearXNG is immediately connected to Open WebUI for web search, and ComfyUI — for image generation. Suitable for those who want to quickly deploy a local environment for AI experiments.

🔗 GitHub
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🔗 Supervised Learning
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🔗 Unsupervised Learning
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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 denoscriptions, 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
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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 denoscriptions, 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
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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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🔅 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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📂 Full denoscription

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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0. Introduction.zip
8.9 MB
📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)
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1. Foundations of LLM Evaluation.zip
104.7 MB
📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)
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2. Evaluating Generative Tasks.zip
220 MB
📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)
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3. Evaluating Understanding Tasks.zip
137.4 MB
📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)
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4. Using Benchmarks Effectively.zip
156.8 MB
📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)
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5. Probing LLMs for a World Model.zip
137.9 MB
📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)
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6. Evaluating LLM Fine-Tuning.zip
212.1 MB
📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)
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7. Case Studies.zip
257.4 MB
📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)
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8. Summary of Evaluation and Looking Ahead.zip
47.8 MB
📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)
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9. Conclusion.zip
4.1 MB
📱Artificial intelligence
📱Complete Guide to Evaluating Large Language Models (LLMs)
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TOP ML Interview Problems
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