The other day on LinkedIn, Sam Bhagwat, the founder of Gatsby and founder/CEO of Mastra.ai, was...
Gradio now lets you spin up an MCP (Machine Control Plane) server with almost no boilerplate, so I...
Claude Desktop { "mcpServers": { "deepwiki": { "command": "npx", ...
requirements Cursor is installed on your machine Ollama is installed on your machine,...
bun https://bun.sh/ 1. Install dependencies brew install llvm Enter fullscreen...
Here is a troubleshooting guide for when you suddenly become unable to access WSL. This issue often...
Learn how to export and import VSCode extensions using a simple shell script. This script saves your installed extensions to a file and allows easy reinstallation without manually clicking the install button.
Learn how to run the Ollama DeepSeek-R1:32GB model on Google Colab's free tier. Explore two methods: direct installation and using the Oyama wrapper for an improved workflow. Includes step-by-step instructions and code snippets.
Learn how to use Kokoro TTS for high-quality voice synthesis with Google Colab T4, featuring kokoro-onnx and voice pack customization.
Discover the top 17 command-line tools that can dramatically enhance your development productivity, workflow efficiency, and system management.
Step1. Create a secret in Secrets First, create a new secret. In this case, we will use...
Learn how to install Docker on a Raspberry Pi and set up your environment for containerized applications with a simple step-by-step guide.
Discover how to create AI agents for web search, financial analysis, reasoning, and retrieval-augmented generation using phidata and the Ollama local LLM.
A step-by-step guide to installing Zellij, a powerful terminal workspace and multiplexer, on Windows Subsystem for Linux (WSL). Learn how to set up WSL, install Rust, and get Zellij running on your system.
Learn how to run SAMURAI, a zero-shot visual tracking model based on SAM (Segment Anything Model), on Google Colab. This step-by-step guide covers setting up GPU runtime, installing dependencies, and running inference with the LaSOT dataset for motion tracking.
Discover six user-friendly tools to run large language models (LLMs) locally on your computer. From LM Studio to NextChat, learn how to leverage powerful AI capabilities offline, ensuring privacy and control over your data. Perfect for developers, AI enthusiasts, and privacy-conscious users.
original post: https://baxin.netlify.app/build-text-extractor-python-under-30-lines/ Extracting text...
Leverage BitNet, a CPU-based framework, to perform rapid inference with 1-bit LLMs on your WSL2 Ubuntu environment. This guide walks you through installation, setup, and running inference tasks.
As a software engineer, mastering version control is crucial for efficient collaboration and project...
What is Diffusers? huggingface / ...
1. Generative AI Learning Plan for Developers overview This learning plan is designed...
In this post, I will show you how to create a simple chatbot with Mesop and Ollama. What is...
I tried out the Built-in AI that apparently works on Chrome Dev or Canary...
1. Generative AI Learning Plan for Developers overview This learning plan is designed...
requirement Google Chrome version 125+ Settings Check Understand console...
Step1. activate...
What is IC-Light? IC-Light is a project to manipulate the illumination of images. The...
What is Gemma? Gemma is a family of 4 new LLM models by Google based on Gemini. It comes...
SDXL-Lightning https://huggingface.co/spaces/AP123/SDXL-Lightning Step 1. Clone repo &...