Exploring Mistral Small 2501
The Open-Source Workhorse Model Redefining Efficiency and Performance
Exploring DeepSeek R1
Analyzing DeepSeek R1's strengths and weaknesses while comparing it to larger closed-source models using the same prompt.
Self-Host Models With vLLM
vLLm is the best way to run LLMs locally by offering a memory efficient framework, while basing the model repository on the industry standard HuggingFace. This guide explains how to set up vLLM, download Mistral Small, and inference directly on your server.
Remote Access With Guacamole
Apache Guacamole is a fantastic software for those looking for an easy way to manage connections to a cluster of computers or those looking for a VDI that can run on a Chromebook. I use Apache Guacamole to manage access to my small cluster of Linux computers. In this guide,
Self-Hosting Text Generation Models
Ollama makes it easier to run LLMs locally by offering a framework with pre-quantized open-source models, eliminating the need for in-depth knowledge of tools such as git or transformers. This guide explains how to set up Ollama, download Mistral NeMo, and inference directly on your device.
Ubuntu User Auditing and Account Policies
Securing a CyberPatriot image starts with robust user management. Learn to audit accounts, disable guest access, enforce password policies, and lock down system accounts to prevent unauthorized access.
How To Train AI Classification Models
A Text Classification model is an AI-based model trained to categorize or classify text into predefined categories or classes. It learns from a labeled dataset where each text sample is associated with a specific category. The model analyzes a string's patterns, features, and relationships to classify new or