AI glossary
Plain-English definitions of the artificial intelligence terms you meet in tutorials, tool reviews and release notes. No jargon for the sake of it.
9 terms.
A
- Artificial Intelligence Fundamentals
- The field of building computer systems that perform tasks normally requiring human intelligence, such as understanding language, recognising images or making decisions.
D
- Deep Learning Fundamentals
- Machine learning that uses multi-layered neural networks to learn complex patterns directly from raw data.
G
- Generative AI Fundamentals
- AI that creates new content such as text, images, audio or video.
I
- Inference Fundamentals
- Running a trained model to produce an output, as opposed to training it.
L
- Latency Fundamentals
- The time between sending a request and receiving a model's response.
M
- Machine Learning Fundamentals
- A branch of AI in which models learn patterns from data instead of being explicitly programmed with rules.
N
- Natural Language Processing Fundamentals
- The branch of AI concerned with understanding and generating human language.
T
- Token Fundamentals
- A chunk of text, roughly a word or part of a word, that a language model reads and generates.
- Tokenization Fundamentals
- The process of splitting text into tokens before it is fed to a language model.