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.

Artificial Intelligence Blog Artificial Intelligence Blog

Supervised Learning

Supervised learning is a type of machine learning algorithm that involves learning from a set of training data that has been labeled with the correct answers.

Read More
Artificial Intelligence Blog Artificial Intelligence Blog

Algorithm

In computer science, an algorithm is a set of instructions for solving a problem. It is a step-by-step guide that can be followed by a computer to perform a task.

Read More

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.