AI and Machine Learning

🔥 Project: fast-agent fast-agent is a modern framework for rapid development and testing of intelligent agents and workflows supporting the MCP (Model-Context-Protocol) protocol. It provides a simple declarative syntax and powerful tools for building multi-agent systems with support for OpenAI, Anthropic, and other models. ▪️ Main features • Fast agent creation using @fast.agent decorators, minimizing code amount. • Workflow support: chains (chain), parallel calls (parallel), routers (router), orchestrators (orchestrator), evaluation and optimization schemes (evaluator_optimizer). • Multimodality: processing images, PDF files, and integration with external MCP resources. • Interactive debugging: configuration and diagnostics of agents before, during, and after workflow execution. • Flexible configuration via fastagent.config.yaml and fastagent.secrets.yaml. • Integration with LLMs: OpenAI (GPT-4 and others), Anthropic (Haiku, Sonnet, Opus), and other models through MCP servers. ▪️ Quick start 1️⃣ Install the uv package manager for Python. 2️⃣ Install fast-agent:

uv pip install fast-agent-mcp

3️⃣ Create a sample agent and configuration files:

uv run fast-agent setup

4️⃣ Run the agent:

uv run agent.py

5️⃣ To run workflow examples:

uv run fast-agent quickstart workflow

▪️ Documentation and examples • Official website: [fast-agent.ai](https://fast-agent.ai) • Documentation: [fast-agent-docs](https://github.com/evalstate/fast-agent-docs) • Examples: examples directory in the repository. ▪️ Community and development • The project is actively developed, ⭐️ 1.7k+ stars on GitHub. • Discussions: [Discussions](https://github.com/evalstate/fast-agent/discussions) • Latest releases: [Releases](https://github.com/evalstate/fast-agent/releases) ▪️ Video review [First Look at Fast-Agent (or Manus) – Coding an AI ...](https://www.youtube.com/watch?v=GaVQyYougPc&utm_source=chatgpt.com) 🔍 GitHub

💥 Xiaomi MiMo 🛠Xiaomi Corporation has introduced its first AI model, the compact language model MiMo , which has 7 billion parameters . 🔰It demonstrates performance comparable to GPT o1-mini . 🔰The model code and weights are available on the Hugging Face platform . 🔍 🔰MiMo was trained from scratch in two stages: first for text analysis , and then for solving logic problems , programming and mathematics , using a dataset of 130 thousand tasks . 📊 ☝🏻 It is especially worth noting that due to a small number of parameters , MiMo can be run locally . 💻 🔗 Links: https://github.com/XiaomiMiMo/MiMo https://huggingface.co/XiaomiMiMo

🔅 Enhancing Your Notebook Workflow with Jupyter AI 📝 Learn to leverage generative AI capabilities within JupyterLab to enhance your data science and machine learning workflow. 🌐 Author: Wuraola Oyewusi 🔰 Level: Intermediate ⏰ Duration: 1h 10m 📋 Topics: Generative AI Tools, Jupyter, Artificial Intelligence 🔗 Join Artificial intelligence for more courses

🖥 7 AI Skills You Must Have in 2026

🖥 7 AI Skills You Must Have in 2026

💻 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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֎ 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

🔅 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

📹 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/

👨‍💻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/

What Are LLMs?

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.

🔅 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