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.
Unsupervised Learning
Unsupervised learning is a type of machine learning where the algorithm is trained on a dataset that does not have any labeled outcomes.
Machine Learning (ML)
Machine learning is a subset of artificial intelligence (AI) that enables computers to learn from experience and improve over time.
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.