Local AI Models with LM Studio and Spring AI
Guide to running local AI models with LM Studio and integrating them into Java applications using the Spring AI framework.
Guide to running local AI models with LM Studio and integrating them into Java applications using the Spring AI framework.
Highlights Handy, an open-source, offline speech-to-text tool for developers, emphasizing its local processing and multi-language support.
A guide to creating long-form TikTok videos using open-source AI models and tools like ComfyUI, focusing on automated, iterative video generation.
A tutorial on building a local AI agent with vision and function calling using Microsoft Agent Framework and Ollama in C#.
A guide to building a local, privacy-focused RAG system using Java to query internal documents like Confluence without external dependencies.
Learn how to use TransformerSharp to run Hugging Face text generation and text-to-image models locally in C# applications.
Learn how to integrate local AI models using Windows AI APIs in a WPF application on Copilot+ PCs with an NPU.
A guide to building a GitHub Copilot extension powered by Ollama for local AI code assistance, using CodeLlama and Hono.js.
A guide on running a Large Language Model (LLM) locally using Ollama for privacy and offline use, covering setup and performance tips.
A guide to using Ollama, an open-source CLI tool for running and customizing large language models like Llama 2 locally on your own machine.
A guide to a new AI image generation app for Apple devices, detailing its features, system requirements, and usage tips.