Tutorials
Step-by-step guides for installing and configuring local AI tools
Tutorials
Advanced RAG Techniques — Chunking, Reranking, and Hybrid Search
TutorialGo beyond basic RAG. Learn chunking strategies, embedding model selection, reranking, and hybrid search to get more accurate answers from your local documents.
Lists & GuidesTutorials
Apple Silicon LLM Optimization — Get the Most from M1, M2, M3, and M4
TutorialOptimize local AI performance on Apple Silicon. Covers Metal GPU acceleration, unified memory advantages, and the best models for each Mac chip generation.
Cloud DeployTutorials
Enterprise Local AI Deployment — Air-Gapped, On-Premise, and Compliant
TutorialDeploy local AI for enterprise use. Covers air-gapped setups, on-premise GPU servers, compliance, and multi-user configurations powered by Open WebUI.
Tutorials
Local AI Fine-Tuning Guide — Customize Models with LoRA and Quantization
TutorialLearn how to fine-tune open-source LLMs on your own hardware using LoRA, and understand quantization formats like GGUF, AWQ, and GPTQ to optimize performance.
Tutorials
Local AI in VS Code — Continue.dev, Cline, and Twinny Setup Guide
TutorialSet up AI-powered coding in VS Code with local models. Complete guide to Continue.dev, Cline, and Twinny extensions running on Ollama — no API keys needed.
Lists & GuidesTutorials
Running Multimodal AI Models Locally — Image and Vision with LLaVA
TutorialRun vision-capable AI models like LLaVA on your hardware. Analyze images, describe photos, and extract text — all locally, without sending data to the cloud.