Virtualization Review

Running AI Locally, Part 2: From VMware Context to Hands-On Tools

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.
IEEE

Group-Specific SVM With Bilevel Programming Methods for Parameter Optimization and Explainable AI in Urban Quality of Life Prediction

Abstract: The assessment of urban quality of life (UQoL) is a multidimensional challenge involving socioeconomic, environmental, and infrastructure-related variables that, due to changes in the ...
InfoWorld

Using Visual Studio Code’s ‘air-gapped’ AI model mode

VS Code can use LLM models other than GitHub Copilot’s built-in providers for AI-assisted development, including local and ...
GitHub

The simplest, fastest repository for training/finetuning small-sized VLMs

We have written a tutorial on nanoVLM which will guide you through the repository and help you get started in no time. Note We have pushed some more breaking changes on September 9, 2025. These are ...
IEEE

Multi-Class Wood Surface Defect Classification using Transfer Learning and CNN-SVM Model

Abstract: The automated identification of wood surface defects is crucial for maintaining product quality and maximizing resource efficiency in the timber industry. Yet, conventional deep learning ...
GitHub

Model Context Protocol servers

This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources. Important If you are ...