DIY AI Text Detector with Dataset, Model, and Local Deployment
Sebastian Raschka walks through building an end‑to‑end AI‑generated‑text detector, from constructing a labeled dataset to training a lightweight model and deploying it locally with a simple UI. The companion code also shows how to fine‑tune a small LLM to dodge detection, exposing the cat‑and‑mouse dynamics of AI checkers.