Free Guides
Everything you need to know about running AI locally.
AI Hallucinations — What They Are and How to Handle Them
Learn what AI hallucinations are, why they happen, real-world examples, and proven techniques to reduce them. Essential for anyone using AI tools.
AI Training Cutoff Dates — What You Need to Know
Understand what AI training cutoff dates mean, why they matter, and how to get current information from models with outdated knowledge.
Best Local LLMs in 2026 — Complete Comparison
Compare top local AI models: Qwen 3, Qwen3.5, DeepSeek, Llama 4, and GLM-5. Find the best model for your hardware and use case.
Cloud AI vs Local AI — The Complete Comparison
Compare cloud AI (ChatGPT, Claude) vs local AI (running models on your own hardware). Privacy, cost, speed, and when to use each approach.
GPU & VRAM Guide for Local AI — How Much Do You Need?
Understand VRAM requirements for local AI models. Learn what runs on 4GB, 8GB, 12GB, 16GB, and 24GB+ GPUs. NVIDIA vs AMD vs Apple Silicon comparison.
How to Install Ollama — Step-by-Step Guide
Install Ollama on Windows, Mac, or Linux and run your first local LLM in under 10 minutes. Complete beginner guide with troubleshooting.
Local AI Speed Benchmarks — How Fast Are Models on Your Hardware?
Tokens per second benchmarks for popular local LLMs across different GPU tiers. RTX 3060, 4060, 4070, 4090, CPU-only, and more.
Running AI on Apple Silicon — M1/M2/M3/M4 Guide
How to run AI models on Mac with Apple Silicon. M1 vs M2 vs M3 vs M4 performance comparison, unified memory advantage, and optimization tips.
What Are AI Parameters? A Beginner's Guide
Understand AI model parameters (weights) in plain English. Learn why more parameters don't always mean better, and how parameter count affects quality, speed, and memory.
What is a Context Window? Everything You Need to Know
Understand AI context windows — how much text models can 'see' and remember. Learn about token counts, context window sizes, and how to work within limits.