Dev.to publishes 7-section ai guide

Dev.to published a 7-section article titled “ChatGPT = AI? That’s Like Saying Google = The Internet!” on 2026-06-02. The piece, authored by Preeti Deshmukh, enumerates seven ai families—rule-based, machine learning, deep learning, computer vision, nlp, reinforcement learning, and generative ai—each with a one-line definition, real-world analogies, and a curated list of tools such as IBM ODM, TensorFlow, Google Vision AI, and GitHub Copilot [Dev.to]. The guide also includes a comparison table that contrasts core abilities, inputs, outputs, and risk profiles across the seven types. For instance, the guide flags rule-based systems as “transparent” but “brittle,” steering compliance-heavy teams toward that option [Dev.to]. The guide's “real-world analogy” column translates abstract concepts into everyday scenarios—traffic lights for rule-based ai, a toddler learning fire safety for machine learning—making the technology approachable for non-ml specialists who must evaluate ai options [Dev.to]. By collating the entire ai family in one place, the guide reduces the time a shipping engineer spends hunting disparate documentation, and enables data-driven decision-making by matching problems to the most appropriate ai paradigm.