This page contains a brief explanation of the most common terms encountered in the Artificial Intelligence field.
- Artificial General Intelligence (AGI)
Strong artificial intelligence (AI), also known as artificial general intelligence (AGI) or general AI, is a theoretical form of AI used to describe a certain mindset of AI development. A machine with Strong AI would possess an intelligence equal to humans, and it would have a self-aware consciousness that has the ability to solve problems, learn, and plan for the future. Today AGI only exists as a theoretical concept, where some optimistic individuals consider it possible in a few decades, while more pessimistic views consider it something that can never be developed.
For more information: What is Strong AI? (IBM)
- Artificial Intelligence (AI)
In its most basic essence, artificial intelligence involves the fusion of computer science and extensive datasets to facilitate problem-solving. It encompasses sub-categories like machine learning and deep learning, often associated with AI. These fields consist of algorithms aimed at developing expert systems that predict or classify based on input data.
- Foundation models
Large machine learning (ML) model trained on vast amounts of data in order to be adapted to a wide range of uses.
- Generative Artificial Intelligence (Generative AI or GenAI)
It refers to deep-learning models that can generate high-quality text, images, and other content based on the data they were trained on.
For more information: What is generative AI? (IBM Research Blog)
- Machine Learning (ML)
A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
- Hallucination
Phenomenon where a large language model (LLM) like a Generative AI chatbot creates an output that is either inaccurate or nonsensical.
- Large Language Models (LLMs)
Types of foundation models trained extensively on vast datasets, enabling them to comprehend and produce natural language and various forms of content, facilitating a broad spectrum of tasks.
For more information: What are large language models? (IBM)
- Prompt
Intentionally crafted phrase or instructions given to a Generative AI model to generate a useful response.
- Strong artificial intelligence (AI)
See Artificial General Intelligence (AGI)