The simulation of human intelligence in machines that are programmed to think and learn like humans.

A set of rules or instructions given to an AI, neural network, or other machine to help it learn on its own.

Extremely large datasets that may be analyzed computationally to reveal patterns, trends, and associations.

A field of AI that trains computers to interpret and understand the visual world from digital images or videos.

A computer program designed to simulate conversation with human users, especially over the internet.

A subset of machine learning that uses neural networks with multiple layers to model and understand complex patterns.

AI systems that can generate new content, such as text, images, audio, or code, based on training data.

A type of AI model trained on vast amounts of text data to understand and generate human-like text.

A subset of AI that enables computers to learn and improve from experience without being explicitly programmed.

A computing system inspired by biological neural networks that learns to perform tasks by considering examples.

A branch of AI that helps computers understand, interpret and manipulate human language.

The practice of designing and refining prompts to get desired outputs from AI language models.