Step-by-step AI tutorials that assume you want to run something today: installing local model runtimes, sizing hardware, serving APIs and fixing what breaks.
A practical, code-first walkthrough of building a retrieval-augmented generation pipeline in 2026 — from embeddings and chunking to vector storage, reranking, and generation, with verified tool versions and honest notes on what actually works.
Llama 3 8B runs surprisingly well on 2026 flagship Android phones — at usable speed, offline, with no API costs. Here’s exactly how to set it up on a Snapdragon 8 Gen 4 device.
Setting up your first local llm with ollama.
Creating an ai-powered resume screener (full tutorial).
From zero to ai engineer: your 90-day learning path.
How to train a custom gpt: step-by-step tutorial.
Build a personal ai assistant in 30 minutes (python tutorial).
Build a working AI chatbot with Anthropic’s Claude API. This guide covers setup, conversation memory, system prompts, streaming, and the prompt caching that keeps costs low.
Run a capable AI model on your own laptop — free, private, and offline. This step-by-step guide covers the hardware you need, the best tools, and which model size to pick.
Build a working machine learning model in Python, step by step. This beginner tutorial uses scikit-learn to take you from setup to a trained, tested model.
