AI in Education: Personal Tutors, and the Integrity Question
AI promises every student a patient personal tutor — and hands every student a way to skip the work. Here is where AI genuinely helps in education, and the integrity questions it forces.
AI in Education
AI for teaching and learning — tutoring, content creation, assessment, and the debates over academic integrity.
What Is RAG? Retrieval-Augmented Generation Explained Simply
RAG is the technique that lets a language model answer using your own documents instead of only what it memorized in training. Here is how it works and why almost every serious AI app uses it.
What Is Fine-Tuning? Customizing AI Models, Explained
Fine-tuning takes a general-purpose AI model and specializes it for your task, tone, or format by training it further on your examples. Here is when it helps — and when prompting or RAG is the better tool.
Prompt Engineering Basics: How to Get Better Answers From AI
Most people get mediocre answers from AI because of vague prompts. A few simple techniques — being specific, giving examples, and asking for step-by-step reasoning — reliably improve results.
What Are Embeddings and Vector Search? A Plain-English Guide
Embeddings are how AI turns words into numbers that capture meaning — the quiet engine behind semantic search, recommendations, and RAG. Here is the concept without the math.
What Is a Large Language Model? A Plain-English Guide
LLMs power ChatGPT, Claude, and Gemini — but what are they, really? This beginner guide explains how they work, what they're good and bad at, and the vocabulary you need, with zero math.