selfhosted deployment

Explains how to run large language models privately on your own machine with Ollama. Covers installation on macOS/Windows/Linux, pulling models (Llama, Mistral), running chats via CLI and an OpenAI‑compatible API, GPU/CPU tips, model management, embeddings, and Docker. Highlights privacy, cost control, performance trade‑offs, and practical workflows and troubleshooting.