Machine Learning
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed.
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed.
A set of algorithms, modeled loosely after the human brain, designed to recognize patterns and perform complex tasks.
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text.
Knowledge Organization System (KOS) refers to a structured framework for organizing, managing, and retrieving information within a specific domain or across multiple domains.
Generative Pre-trained Transformer (GPT) is a type of AI model that uses deep learning to generate human-like text based on given input.
User-Centered Design (UCD) is an iterative design approach that focuses on understanding users' needs, preferences, and limitations throughout the design process.
A phenomenon where people are more likely to remember information when they are in the same state of consciousness as when they learned it.
A time-boxed period in which Agile teams deliver incremental value in the form of working, tested software and systems.