Huma.AI Glossary

Generative AI refers to the category of artificial intelligence that has the ability to create new content, such as text, images, music, or even voice.

In the context of artificial intelligence, to hallucinate means for an AI system to generate or predict data that isn't based on its training data, often leading to inaccuracies or false outputs.

A Large Language Model (LLM) is an artificial intelligence system that has been trained on a vast amount of text data to understand and generate human language.

Long Short-Term Memory (LSTM) is a type of artificial neural network designed to remember patterns over time and sequences, which is particularly useful for tasks involving language, speech, and time series data.

Machine learning is a branch of artificial intelligence where computers are trained to learn from data without being explicitly programmed to perform a specific task.

Multimodal refers to AI systems that can understand and integrate multiple types of data, such as text, images, and sound, simultaneously.

Narrow AI refers to artificial intelligence systems that are designed to perform a specific task, like voice recognition or driving a car, but do not possess general intelligence.

Natural Language Processing (NLP) is a field in artificial intelligence that focuses on the interaction between computers and humans through natural language, enabling machines to understand, interpret, and generate human language.

A Neural Network in artificial intelligence is a computational model inspired by the human brain's structure that is designed to recognize patterns.

In artificial intelligence, an Oracle is a hypothetical AI system that accurately answers questions about a specified domain but does not take independent actions in the world.