Why Use Conda for AI Development? Conda is a powerful environment and package manager that simplifies managing Python environments, dependencies, and even packages that require compilation. For AI development, it is ideal because:

• It supports GPU-based libraries like PyTorch and TensorFlow.
• It avoids “dependency hell”.
• It lets you isolate environments for different projects.

Prerequisites

• A Debian 12 or newer installation (minimal install or full desktop).
• Sudo privileges or root …

Table of Contents

1. Prerequisites
2. Downloading the Netinstall Image
3. Creating Bootable Media
4. Graphical Installation Method
5. CLI Installation Method
6. Post-Installation Configuration
7. Troubleshooting

1. Prerequisites Before beginning, ensure you have:

• A computer with at least 20GB free storage
• 2GB RAM minimum (4GB recommended for graphical interface)
• Stable internet connection
• USB drive (4GB minimum)
• Debian netinstall ISO file

2. Downloading the Netinstall Image 1. Visit the official Debian download page: …

Overview This tutorial will guide you through installing Obsidian (AppImage) system-wide in /opt, making it executable, and creating .desktop files for both existing users and any future users on a Debian system. Prerequisites

• Debian-based system
• sudo/root privileges
• Basic terminal knowledge

Step 1: Download Obsidian AppImage First, download the latest Obsidian AppImage from the official website: # Create temporary directory for download mkdir -p /tmp/obsidian_install cd /tmp/obsidian_install # Download Obsidian AppImage (replace …

Have you ever wanted to create your own short movies from just a text prompt or an image? With the power of artificial intelligence, now you can! This tutorial will walk you through installing and using Stable Video Diffusion, a powerful open-source model, on your Debian system. System Requirements Before we dive in, let’s make sure your system is ready. Running AI models can be resource-intensive, so here’s what you’ll …

Chosen Topic: Secure Deployment > Model Obfuscation Subcategory of Cybersecurity & Fine-Tuning This tutorial is about obfuscating AI models to prevent reverse engineering, tampering, or theft — crucial for developers deploying proprietary or sensitive models on edge devices or client servers. Introduction Deploying AI models into the wild — whether on edge devices, client servers, or shared environments — opens up risks of model leakage, theft, or adversarial attacks. If …

Chosen Topic: Local LLMs > Setting up LLaMA.cpp on Debian for Offline AI Chat This should appeal to users trying to run models locally without relying on cloud APIs. Introduction Large Language Models (LLMs) like ChatGPT have revolutionized how we interact with machines — but most of them rely on the cloud, leaking data and requiring internet access. Want full control, privacy, and no OpenAI API bills? Meet llama.cpp, a blazing-fast …