Topic archive
Clear explanations of generative AI and language models, including their capabilities, limits, privacy implications, and safe use.
Running a model on your own computer can give you more control over data, but it does not make the entire workflow automatically private, secure, or free.
RAG retrieves relevant passages from selected sources and places them in the model’s context. Understand indexing, retrieval, citations, and the mistakes that still happen.
An AI agent does more than reply in a chat: it plans steps, selects tools, and takes actions. Learn where agents help, where they fail, and how to keep control.
A plain-English explanation of model training, how AI generates responses, and why an AI system is neither a fact database nor a digital person.
A practical fact-checking workflow for AI answers: identify risky claims, find primary sources, check quotes, and know when not to trust a chatbot.
A clear introduction to how ChatGPT generates answers, what it can and cannot do, where it makes mistakes, and how to start using it safely.
