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 AI terms and concepts, 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.
Abstraction
Abstraction is a widely used concept in artificial intelligence to manage the use of different levels of detail in a representation language or the ability to switch between levels while preserving important characteristics.
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.
Abductive Reasoning
Abductive reasoning is a type of logical reasoning that is used to arrive at a conclusion from a given set of facts.
Abstract Data Type (ADT)
An abstract data type is a data type that is not implemented in a specific programming language but is rather defined in terms of its behavior.
Outpainting
Outpainting algorithms are designed to generate new data points based on existing data points.
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.