Foundational concepts and vocabulary for learners new to AI. Covers how models work, how they're trained, and the essential terminology you'll encounter along the way.
Learn the fundamentals of artificial intelligence and how modern AI systems are built, trained, and refined.
Definitions of the AI terms you'll encounter most often at BYU-Idaho — from alignment and tokens to context windows and RAG.
The three phases that turn massive text datasets into a usable AI assistant: dataset building, pretraining, and refinement.
How AI systems remember conversations, why they sometimes forget, and how to work within their working-memory limits.
How AI systems are trained to behave helpfully, safely, and honestly in ways that match human values and intent.