5 posts
A comprehensive guide to running LLMs locally — comparing 10 inference tools, quantization formats, hardware at every budget, and the builders empowering developers with open-weight models.
A complete pricing comparison of every Apple Silicon Mac Mini — new vs used — with LLM capability breakdowns by RAM tier. Plus a full guide to running OpenClaw as a local AI agent on your Mac Mini with zero cloud costs.
Complete guide to LLMs.txt files: Learn what llms.txt is, how it helps AI understand your website, and step-by-step instructions for creating and implementing llms.txt files to optimize your site for AI-powered search and content discovery.
Master prompt engineering for GPT-4o, Claude, and Gemini — system prompts, chain-of-thought reasoning, few-shot examples, function calling, structured outputs, and testing strategies.
Understand transformer architecture from self-attention to modern LLMs — covering GPT-4o, Claude, Gemini, Llama 3, Mistral, multimodal models, and practical guidance on which model to use for which task.
