Local LLMs
Local LLM guides covering model selection, quantization, memory sizing, runtimes, prompts, evaluation, and practical deployment.
Nemotron and Agentic Local AI
Evaluate a specific Nemotron checkpoint against memory and runtime support, then start agent experiments with read-only tools, scoped credentials, logged calls, and approval for changes.
Local Coding Assistants: Codex CLI, Continue, Aider, and OpenHands
Compare Codex CLI, Continue, Aider, and OpenHands by workflow, model support, permissions, and recovery; evaluate scoped tasks in a disposable repository before granting broader access.
Adding RAG: Chat with Documents Locally
A beginner-friendly guide to local document chat, embeddings, vector databases, Open WebUI knowledge bases, privacy, and common RAG mistakes.
Home AI Hardware Levels: A Beginner's Guide to the PC You Need
A plain-English guide to choosing hardware for a home AI setup, from using an old PC to building a serious GPU workstation.
Try Local AI Before You Buy Hardware: A Beginner Gemma and Ollama Guide
Try a small Gemma model with Ollama on your current supported computer, using non-sensitive prompts and local-only settings before judging answer quality, response time, and upgrade needs.
Run Google Gemma Locally with Ollama, Open WebUI, and Codex CLI
Connect Gemma, Ollama, Open WebUI, and Codex CLI on a private Linux host, with loopback access and configuration checks; local weights alone do not establish an offline workflow.