Welcome to the AI Terminology section of the AI blog! This comprehensive glossary is designed to help you navigate the complex world of artificial intelligence. Here, you’ll find clear, concise definitions and explanations of key terms and concepts in AI, from foundational ideas like machine learning and neural networks to advanced topics such as reinforcement learning and variational autoencoders. Whether you’re a beginner or an expert, this resource is tailored to enhance your understanding and keep you up to date with the latest advancements in the field.
Deep Learning
Deep learning is a branch of artificial intelligence that deals with the simulation of human intelligence by machines.
Machine Learning (ML)
Machine learning is a subset of artificial intelligence (AI) that enables computers to learn from experience and improve over time.
Large Language Model (LLM)
A large language model is an artificial intelligence system that has been trained on a massive amount of text data, using machine learning algorithms, to generate human-like responses to text-based inputs.
Artificial Intelligence (AI)
Artificial intelligence (AI) is the ability of a computer program or system to learn and think for itself.
Human-Computer Interaction (HCI)
Human-computer interaction is the study of how people interact with computers and computer-based systems.
We generate a base framework for AI terminology definition articles with this prompt in the ChatGPT Atlas browser: Write a 1 paragraph introduction to the topic, then write paragraphs for non-technical and technical readers. Add a bullet point list of key aspects. Insert a 1-sentence TL;DR at the beginning. Also, append a 1 paragraph ELI5.