Glossary
A plain-English glossary of the methods and ideas behind modern AI. Search, sort, or jump to a letter.
8 terms
| Definition | ||
|---|---|---|
| Reasoning Models | Models that spend extra compute "thinking" before they answer. | May 21, 2026 |
| Recurrent Neural Network | A network with memory, processing sequences one step at a time. | May 21, 2026 |
| Reinforcement Learning | Learning by trial and error to maximize reward. | May 21, 2026 |
| Residual Connections | Skip connections that let very deep networks train. | May 21, 2026 |
| Retrieval-Augmented Generation | Grounding model answers in documents fetched at query time. | May 21, 2026 |
| Reward Model | A model trained to score outputs by human preference, used to guide reinforcement learning during alignment. | May 22, 2026 |
| RLHF | Reinforcement Learning from Human Feedback — aligning models to human preferences. | May 21, 2026 |
| Rotary Position Embedding | A positional scheme that rotates query/key vectors by position. | May 21, 2026 |