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.
7 terms.
F
- Few-shot Learning Machine Learning
- Guiding a model with a small number of examples in the prompt before asking it to complete a task.
- Fine-tuning Machine Learning
- Further training a pre-trained model on a smaller, task-specific dataset so it specialises.
R
- Reinforcement Learning Machine Learning
- Training an agent to take actions that maximise a reward through trial and error.
- RLHF Machine Learning
- Reinforcement Learning from Human Feedback, a method that aligns models with human preferences using ranked examples.
S
- Supervised Learning Machine Learning
- Training with labelled examples, where each input comes with the correct answer.
U
- Unsupervised Learning Machine Learning
- Finding structure in data that has no labels attached.
Z
- Zero-shot Learning Machine Learning
- Asking a model to perform a task it was not explicitly trained on, using only a description of the task.